Alternatives to Tarsal
Compare Tarsal alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Tarsal in 2026. Compare features, ratings, user reviews, pricing, and more from Tarsal competitors and alternatives in order to make an informed decision for your business.
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Minitab Connect
Minitab
The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email. -
2
IRI Voracity
IRI, The CoSort Company
Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data -
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DataBahn
DataBahn
DataBahn.ai is redefining how enterprises manage the explosion of security and operational data in the AI era. Our AI-powered data pipeline and fabric platform helps organizations securely collect, enrich, orchestrate, and optimize enterprise data—including security, application, observability, and IoT/OT telemetry—for analytics, automation, and AI. With native support for over 400 integrations and built-in enrichment capabilities, DataBahn streamlines fragmented data workflows and reduces SIEM and infrastructure costs from day one. The platform requires no specialist training, enabling security and IT teams to extract insights in real time and adapt quickly to new demands. We've helped Fortune 500 and Global 2000 companies reduce data processing costs by over 50% and automate more than 80% of their data engineering workloads. -
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Tenzir
Tenzir
Tenzir is a data pipeline engine specifically designed for security teams, facilitating the collection, transformation, enrichment, and routing of security data throughout its lifecycle. It enables users to seamlessly gather data from various sources, parse unstructured data into structured formats, and transform it as needed. It optimizes data volume, reduces costs, and supports mapping to standardized schemas like OCSF, ASIM, and ECS. Tenzir ensures compliance through data anonymization features and enriches data by adding context from threats, assets, and vulnerabilities. It supports real-time detection and stores data efficiently in Parquet format within object storage systems. Users can rapidly search and materialize necessary data and reactivate at-rest data back into motion. Tension is built for flexibility, allowing deployment as code and integration into existing workflows, ultimately aiming to reduce SIEM costs and provide full control. -
5
Fivetran
Fivetran
Fivetran is a leading data integration platform that centralizes an organization’s data from various sources to enable modern data infrastructure and drive innovation. It offers over 700 fully managed connectors to move data automatically, reliably, and securely from SaaS applications, databases, ERPs, and files to data warehouses and lakes. The platform supports real-time data syncs and scalable pipelines that fit evolving business needs. Trusted by global enterprises like Dropbox, JetBlue, and Pfizer, Fivetran helps accelerate analytics, AI workflows, and cloud migrations. It features robust security certifications including SOC 1 & 2, GDPR, HIPAA, and ISO 27001. Fivetran provides an easy-to-use, customizable platform that reduces engineering time and enables faster insights. -
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VirtualMetric
VirtualMetric
VirtualMetric is a powerful telemetry pipeline solution designed to enhance data collection, processing, and security monitoring across enterprise environments. Its core offering, DataStream, automatically collects and transforms security logs from a wide range of systems such as Windows, Linux, MacOS, and Unix, enriching data for further analysis. By reducing data volume and filtering out non-meaningful logs, VirtualMetric helps businesses lower SIEM ingestion costs, increase operational efficiency, and improve threat detection accuracy. The platform’s scalable architecture, with features like zero data loss and long-term compliance storage, ensures that businesses can maintain high security standards while optimizing performance.Starting Price: Free -
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Axoflow
Axoflow
Axoflow, the Security Data Layer is the foundation for your SIEM and analytics tools enabling the use of AI, up to 70% faster investigations, and more than 50% reduction in SIEM spend by feeding them with actionable data. Axoflow Platform is built up of the following parts: A pipeline acting as the transportation layer for your security data and also acting as an automated ‘translator’ between data schemas. AI - If you prefer to run your detection content locally - whether it’s an AI or ML model, a threat intel lookup, or another type of enrichment - we’ve got you covered. Storage solutions to facilitate the cost-effective storage of security data and also acting as local storage to run your decentralized detection. Orchestration to weave all of the parts together in an easy-to-use GUI that lets youmonitor and manage, and control and search your data. -
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Anlyz Cyberal
Anlyz
A unique analytics module set-up easily on existing SIEM, which operates as an analytical machine ensemble to produce data to identify known and unknown threats proactively. This version of Anlyz SIEM acts as a compressed analytical layer to gain insights from existing SIEM without an overhaul of existing information security arena. Anlyz SIEM is also available as a complete, sophisticated threat intelligence SIEM with integrated UEBA/UBA capabilities providing advance visibility, detection and investigation capabilities across the board. Real-time intelligence to help security teams scrutinize threats proactively with contextual insights to detect and identify inside or outside threat attackers. Unparalleled analytics capability without any parametric constraints and highly scalable (unlimited data lake); enables analysts to zoom into and protect against threats based on priority and policy. -
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empow
empow
If you had to invent the perfect SIEM from scratch it would combine a rules-free engine and a voluminous and continually updated database of threats. Well, the dream SIEM is here today. empow uses its proprietary AI and natural language processing to read the minds of attackers and determine the intent of each kernel of IP data. This power is now integrated with Elastic’s database and search capabilities. Think of it as an integrated “i-SIEM empowered by Elastic" - bringing enterprises a single place to manage all of their IT and data security functions. It’s a scalable data lake solution, with empow’s SIEM serving as an active infrastructure brain that detects, confirms and prevents attacks before they do harm. -
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DNIF HYPERCLOUD
DNIF
DNIF provides a high value solution by combining technologies such as the SIEM, UEBA and SOAR into one product at an extremely low total cost of ownership. DNIF's hyper scalable data lake makes it ideal to ingest and store terabytes of data. Detect suspicious activity using statistics and take action before any damage occurs. Orchestrate processes, people and technology initiatives from a single security dashboard. Your SIEM will come built-in with essential dashboards, reports and response workflows. Coverage for threat hunting, compliance, user behavior monitoring and network traffic anomaly. In-depth coverage map with the MITRE ATT&CK and CAPEC framework. Maximize your logging capacity without fretting over costs—double, perhaps even triple your capacity with your existing budget. With the HYPERCLOUD, the fear of overlooking crucial information is a thing of the past. Log everything, leave nothing behind.Starting Price: $0.76/GB -
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Exabeam
Exabeam
Exabeam helps security teams outsmart the odds by adding intelligence to their existing security tools – including SIEMs, XDRs, cloud data lakes, and hundreds of other business and security products. Out-of-the-box use case coverage repeatedly delivers successful outcomes. Behavioral analytics allows security teams to detect compromised and malicious users that were previously difficult, or impossible, to find. New-Scale Fusion combines New-Scale SIEM and New-Scale Analytics to form the cloud-native New-Scale Security Operations Platform. Fusion applies AI and automation to security operations workflows to deliver the industry’s premier platform for threat detection, investigation and response (TDIR). -
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Upsolver
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries. -
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Qlik Compose
Qlik
Qlik Compose for Data Warehouses provides a modern approach by automating and optimizing data warehouse creation and operation. Qlik Compose automates designing the warehouse, generating ETL code, and quickly applying updates, all whilst leveraging best practices and proven design patterns. Qlik Compose for Data Warehouses dramatically reduces the time, cost and risk of BI projects, whether on-premises or in the cloud. Qlik Compose for Data Lakes automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organizations realize faster time-to-value from their existing data lake investments. -
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Vega
Vega
Vega is an AI-native, federated security analytics platform built to give security operations teams unified visibility, detection, investigation, and response across all of their security data without requiring costly data migration or centralized ingestion. Its Security Analytics Mesh (SAM) lets analysts instantly access and query data wherever it lives, including SIEMs, data lakes, cloud services, and cold storage, using natural language or query languages, eliminating blind spots and reducing cost and maintenance overhead while expanding coverage. It delivers AI-powered detections, automated triage, and cross-environment alert correlation, translating and normalizing data from disparate sources so teams can build, deploy, and refine detection rules once and run them everywhere. Vega also continuously tunes alerts to reduce noise, uncovers hidden security gaps, and integrates with existing security stacks through pre-built connectors. -
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Etleap
Etleap
Etleap was built from the ground up on AWS to support Redshift and snowflake data warehouses and S3/Glue data lakes. Their solution simplifies and automates ETL by offering fully-managed ETL-as-a-service. Etleap's data wrangler and modeling tools let users control how data is transformed for analysis, without writing any code. Etleap monitors and maintains data pipelines for availability and completeness, eliminating the need for constant maintenance, and centralizes data from 50+ disparate sources and silos into your data warehouse or data lake. -
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SynSaber
SynSaber
Today’s industrial asset and network monitoring solutions are broken. Sensors are too big to be adaptable. End-to-end visibility is non-existent. Scalability is out of the question. SynSaber shifts the paradigm with a flexible, future-proof solution that empowers operators to defend their industrial environments with ease. Deploy rapidly. Integrate with current technology. Scale as needed. Detect threats at-speed. Your mission means your rules. Discover the power of a more flexible, more effective industrial asset and network monitoring solution. SynSaber decouples collections and sensing from detection platforms, data lakes, and SIEMs. Supplying curated data to your existing infrastructure, security, and workflow tools. Allowing for unparalleled freedom and flexibility. -
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Streamkap
Streamkap
Streamkap is a streaming data platform that makes streaming as easy as batch. Stream data from database (change data capturee) or event sources to your favorite database, data warehouse or data lake. Streamkap can be deployed as a SaaS or in a bring your own cloud (BYOC) deployment.Starting Price: $600 per month -
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Stitch
Qlik
Stitch is a cloud-based platform for ETL – extract, transform, and load. More than a thousand companies use Stitch to move billions of records every day from SaaS applications and databases into data warehouses and data lakes. -
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Integrate and automate best-of-breed data security solutions. Take control of your destiny. With Seclore’s Data-Centric Security Platform you can unify best-of-breed Data-Centric Security solutions into a cohesive, automated framework without added integration costs. While DLP, Classification, and Rights Management each have their strengths, together they ensure documents are properly protected and tracked wherever they travel. And let’s not forget your existing Enterprise systems! EFSS, eMail, ECM, Directories, and SIEM can be easily added to the framework to further automate the process. Seamlessly unite best-in-class DLP, Data Classification, Rights Management and SIEM systems into an automated process for superior information security without added integration costs. The Seclore Unified Policy Manager enables you to orchestrate identity management, policy management, connectivity, encryption, and the collection of document usage insights.
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Auguria
Auguria
Auguria is a cloud-native security data platform that harnesses human-machine teaming to extract the 1 percent of event data that matters from billions of logs in real time by cleansing, denoising, and ranking security events. At its core is the Auguria Security Knowledge Layer, a vector database and embedding engine built on an ontology distilled from decades of real-world SecOps experience, which semantically groups trillions of events into investigation-worthy insights. Without requiring expert data engineering, users can connect any data source to an automated pipeline that prioritizes, filters, and routes events to SIEM, XDR, data lakes, or object storage. Auguria continuously updates its state-of-the-art AI models with new security signals and state-specific context, provides anomaly scoring and justifications for each event, and delivers real-time dashboards and analytics to accelerate incident triage, threat hunting, and compliance. -
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Delta Lake
Delta Lake
Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. Data lakes typically have multiple data pipelines reading and writing data concurrently, and data engineers have to go through a tedious process to ensure data integrity, due to the lack of transactions. Delta Lake brings ACID transactions to your data lakes. It provides serializability, the strongest level of isolation level. Learn more at Diving into Delta Lake: Unpacking the Transaction Log. In big data, even the metadata itself can be "big data". Delta Lake treats metadata just like data, leveraging Spark's distributed processing power to handle all its metadata. As a result, Delta Lake can handle petabyte-scale tables with billions of partitions and files at ease. Delta Lake provides snapshots of data enabling developers to access and revert to earlier versions of data for audits, rollbacks or to reproduce experiments. -
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Monad
Monad
Monad is a security data cloud platform designed to streamline the extraction, transformation, and loading (ETL) of data from various security tools into a unified data warehouse. It enables security teams to export data from their tools, transform it into custom data models, and deliver it directly to their data warehouses, facilitating seamless integration and analysis. The platform allows teams, including security, DevOps, and cloud engineering, to interact with data through SQL and business intelligence tools, enhancing their ability to normalize, transform, and enrich data for improved security and compliance outcomes. Monad’s user-friendly interface and enterprise-grade connectors simplify creating a security data lake, helping organizations unify data silos and achieve better insights and analytics for robust security management. -
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Bedrock Security
Bedrock Security
At Bedrock Security, frictionless data security means freedom to embrace cloud and AI data growth safely, without slowing your business down. Start your data security journey, and confidently move beyond just visibility. Understand your material data with AI reasoning and ensure cloud and GenAI compliance controls are enforced with out-of-the-box compliance frameworks. Your data isn’t static, it’s growing, changing, and moving, making it critical for you to perform security assessments continuously. Efficiently manage remediation and response, integrating behavior-based anomaly detection, SIEM/SOAR integration, policy enforcement, and prioritization based on data context. Mature security programs can frictionlessly enable business operations while effectively managing risk to the brand, revenue, and reputation of the organization. Bedrock’s AIR helps organizations with data minimization, identity and access minimization, and data hardening. -
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Azure Data Lake
Microsoft
Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. It removes the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics. Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. It also integrates seamlessly with operational stores and data warehouses so you can extend current data applications. We’ve drawn on the experience of working with enterprise customers and running some of the largest scale processing and analytics in the world for Microsoft businesses like Office 365, Xbox Live, Azure, Windows, Bing, and Skype. Azure Data Lake solves many of the productivity and scalability challenges that prevent you from maximizing the -
25
Openbridge
Openbridge
Uncover insights to supercharge sales growth using code-free, fully-automated data pipelines to data lakes or cloud warehouses. A flexible, standards-based platform to unify sales and marketing data for automating insights and smarter growth. Say goodbye to messy, expensive manual data downloads. Always know what you’ll pay and only pay for what you use. Fuel your tools with quick access to analytics-ready data. As certified developers, we only work with secure, official APIs. Get started quickly with data pipelines from popular sources. Pre-built, pre-transformed, and ready-to-go data pipelines. Unlock data from Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and many others. Code-free data ingestion and transformation processes allow teams to realize value from their data quickly and cost-effectively. Data is always securely stored directly in a trusted, customer-owned data destination like Databricks, Amazon Redshift, etc.Starting Price: $149 per month -
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Lyftrondata
Lyftrondata
Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse. -
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Scanner
Scanner
Scanner.dev is a cloud-native security data lake and lightweight security information and event management (SIEM) platform that indexes logs directly in your own Amazon S3 buckets, letting you retain unlimited logs and run full-text searches across petabytes of data in seconds without additional ETL or schema requirements. It builds lightweight indexes that make any log format instantly searchable and supports hyper-fast search and investigation, continuous threat detection with customizable detection rules managed as code via GitHub, and integrated alerting with APIs for automation and integration into existing security workflows. Scanner’s streaming detection engine continuously evaluates rule queries in near real time and can backtest detection logic against historical data, while its API and Model Context Protocol (MCP) enable programmatic access and AI-assisted analysis of security data.Starting Price: $30,000 per year -
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lakeFS
Treeverse
lakeFS enables you to manage your data lake the way you manage your code. Run parallel pipelines for experimentation and CI/CD for your data. Simplifying the lives of engineers, data scientists and analysts who are transforming the world with data. lakeFS is an open source platform that delivers resilience and manageability to object-storage based data lakes. With lakeFS you can build repeatable, atomic and versioned data lake operations, from complex ETL jobs to data science and analytics. lakeFS supports AWS S3, Azure Blob Storage and Google Cloud Storage (GCS) as its underlying storage service. It is API compatible with S3 and works seamlessly with all modern data frameworks such as Spark, Hive, AWS Athena, Presto, etc. lakeFS provides a Git-like branching and committing model that scales to exabytes of data by utilizing S3, GCS, or Azure Blob for storage. -
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QuerySurge
RTTS
QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence: Analytics dashboard & reports -
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Cazena
Cazena
Cazena’s Instant Data Lake accelerates time to analytics and AI/ML from months to minutes. Powered by its patented automated data platform, Cazena delivers the first SaaS experience for data lakes. Zero operations required. Enterprises need a data lake that easily supports all of their data and tools for analytics, machine learning and AI. To be effective, a data lake must offer secure data ingestion, flexible data storage, access and identity management, tool integration, optimization and more. Cloud data lakes are complicated to do yourself, which is why they require expensive teams. Cazena’s Instant Cloud Data Lakes are instantly production-ready for data loading and analytics. Everything is automated, supported on Cazena’s SaaS Platform with continuous Ops and self-service access via the Cazena SaaS Console. Cazena's Instant Data Lakes are turnkey and production-ready for secure data ingest, storage and analytics. -
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Amazon Security Lake
Amazon
Amazon Security Lake automatically centralizes security data from AWS environments, SaaS providers, on-premises, and cloud sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. You can also improve the protection of your workloads, applications, and data. Security Lake has adopted the Open Cybersecurity Schema Framework (OCSF), an open standard. With OCSF support, the service normalizes and combines security data from AWS and a broad range of enterprise security data sources. Use your preferred analytics tools to analyze your security data while retaining complete control and ownership over that data. Centralize data visibility from cloud and on-premises sources across your accounts and AWS Regions. Streamline your data management at scale by normalizing your security data to an open standard.Starting Price: $0.75 per GB per month -
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Lumada IIoT
Hitachi
Embed sensors for IoT use cases and enrich sensor data with control system and environment data. Integrate this in real time with enterprise data and deploy predictive algorithms to discover new insights and harvest your data for meaningful use. Use analytics to predict maintenance problems, understand asset utilization, reduce defects and optimize processes. Harness the power of connected devices to deliver remote monitoring and diagnostics services. Employ IoT Analytics to predict safety hazards and comply with regulations to reduce worksite accidents. Lumada Data Integration: Rapidly build and deploy data pipelines at scale. Integrate data from lakes, warehouses and devices, and orchestrate data flows across all environments. By building ecosystems with customers and business partners in various business areas, we can accelerate digital innovation to create new value for a new society. -
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Airbyte
Airbyte
Airbyte is an open-source data integration platform designed to help businesses synchronize data from various sources to their data warehouses, lakes, or databases. The platform provides over 550 pre-built connectors and enables users to easily create custom connectors using low-code or no-code tools. Airbyte's solution is optimized for large-scale data movement, enhancing AI workflows by seamlessly integrating unstructured data into vector databases like Pinecone and Weaviate. It offers flexible deployment options, ensuring security, compliance, and governance across all models.Starting Price: $2.50 per credit -
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Infor Data Lake
Infor
Solving today’s enterprise and industry challenges requires big data. The ability to capture data from across your enterprise—whether generated by disparate applications, people, or IoT infrastructure–offers tremendous potential. Infor’s Data Lake tools deliver schema-on-read intelligence along with a fast, flexible data consumption framework to enable new ways of making key decisions. With leveraged access to your entire Infor ecosystem, you can start capturing and delivering big data to power your next generation analytics and machine learning strategies. Infinitely scalable, the Infor Data Lake provides a unified repository for capturing all of your enterprise data. Grow with your insights and investments, ingest more content for better informed decisions, improve your analytics profiles, and provide rich data sets to build more powerful machine learning processes. -
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AWS Lake Formation
Amazon
AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake lets you break down data silos and combine different types of analytics to gain insights and guide better business decisions. Setting up and managing data lakes today involves a lot of manual, complicated, and time-consuming tasks. This work includes loading data from diverse sources, monitoring those data flows, setting up partitions, turning on encryption and managing keys, defining transformation jobs and monitoring their operation, reorganizing data into a columnar format, deduplicating redundant data, and matching linked records. Once data has been loaded into the data lake, you need to grant fine-grained access to datasets, and audit access over time across a wide range of analytics and machine learning (ML) tools and services. -
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Lentiq
Lentiq
Lentiq is a collaborative data lake as a service environment that’s built to enable small teams to do big things. Quickly run data science, machine learning and data analysis at scale in the cloud of your choice. With Lentiq, your teams can ingest data in real time and then process, clean and share it. From there, Lentiq makes it possible to build, train and share models internally. Simply put, data teams can collaborate with Lentiq and innovate with no restrictions. Data lakes are storage and processing environments, which provide ML, ETL, schema-on-read querying capabilities and so much more. Are you working on some data science magic? You definitely need a data lake. In the Post-Hadoop era, the big, centralized data lake is a thing of the past. With Lentiq, we use data pools, which are multi-cloud, interconnected mini-data lakes. They work together to give you a stable, secure and fast data science environment. -
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ELCA Smart Data Lake Builder
ELCA Group
Classical Data Lakes are often reduced to basic but cheap raw data storage, neglecting significant aspects like transformation, data quality and security. These topics are left to data scientists, who end up spending up to 80% of their time acquiring, understanding and cleaning data before they can start using their core competencies. In addition, classical Data Lakes are often implemented by separate departments using different standards and tools, which makes it harder to implement comprehensive analytical use cases. Smart Data Lakes solve these various issues by providing architectural and methodical guidelines, together with an efficient tool to build a strong high-quality data foundation. Smart Data Lakes are at the core of any modern analytics platform. Their structure easily integrates prevalent Data Science tools and open source technologies, as well as AI and ML. Their storage is cheap and scalable, supporting both unstructured data and complex data structures.Starting Price: Free -
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The Qlik Data Integration platform for managed data lakes automates the process of providing continuously updated, accurate, and trusted data sets for business analytics. Data engineers have the agility to quickly add new sources and ensure success at every step of the data lake pipeline from real-time data ingestion, to refinement, provisioning, and governance. A simple and universal solution for continually ingesting enterprise data into popular data lakes in real-time. A model-driven approach for quickly designing, building, and managing data lakes on-premises or in the cloud. Deliver a smart enterprise-scale data catalog to securely share all of your derived data sets with business users.
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DataLakeHouse.io
DataLakeHouse.io
DataLakeHouse.io (DLH.io) Data Sync provides replication and synchronization of operational systems (on-premise and cloud-based SaaS) data into destinations of their choosing, primarily Cloud Data Warehouses. Built for marketing teams and really any data team at any size organization, DLH.io enables business cases for building single source of truth data repositories, such as dimensional data warehouses, data vault 2.0, and other machine learning workloads. Use cases are technical and functional including: ELT, ETL, Data Warehouse, Pipeline, Analytics, AI & Machine Learning, Data, Marketing, Sales, Retail, FinTech, Restaurant, Manufacturing, Public Sector, and more. DataLakeHouse.io is on a mission to orchestrate data for every organization particularly those desiring to become data-driven, or those that are continuing their data driven strategy journey. DataLakeHouse.io (aka DLH.io) enables hundreds of companies to managed their cloud data warehousing and analytics solutions.Starting Price: $99 -
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Google Cloud Data Fusion
Google
Open core, delivering hybrid and multi-cloud integration. Data Fusion is built using open source project CDAP, and this open core ensures data pipeline portability for users. CDAP’s broad integration with on-premises and public cloud platforms gives Cloud Data Fusion users the ability to break down silos and deliver insights that were previously inaccessible. Integrated with Google’s industry-leading big data tools. Data Fusion’s integration with Google Cloud simplifies data security and ensures data is immediately available for analysis. Whether you’re curating a data lake with Cloud Storage and Dataproc, moving data into BigQuery for data warehousing, or transforming data to land it in a relational store like Cloud Spanner, Cloud Data Fusion’s integration makes development and iteration fast and easy. -
41
BigLake
Google
BigLake is a storage engine that unifies data warehouses and lakes by enabling BigQuery and open-source frameworks like Spark to access data with fine-grained access control. BigLake provides accelerated query performance across multi-cloud storage and open formats such as Apache Iceberg. Store a single copy of data with uniform features across data warehouses & lakes. Fine-grained access control and multi-cloud governance over distributed data. Seamless integration with open-source analytics tools and open data formats. Unlock analytics on distributed data regardless of where and how it’s stored, while choosing the best analytics tools, open source or cloud-native over a single copy of data. Fine-grained access control across open source engines like Apache Spark, Presto, and Trino, and open formats such as Parquet. Performant queries over data lakes powered by BigQuery. Integrates with Dataplex to provide management at scale, including logical data organization.Starting Price: $5 per TB -
42
Securonix Unified Defense SIEM
Securonix
Built on big data, Securonix Unified Defense SIEM combines log management, user and entity behavior analytics (UEBA), and security incident response into a complete, end-to-end security operations platform. It collects massive volumes of data in real-time, uses patented machine learning algorithms to detect advanced threats, and provides artificial intelligence-based security incident response capabilities for fast remediation. The Securonix platform automates security operations while our analytics capabilities reduces noise, fine tunes alerts, and identifies threats both inside and out of the enterprise. The Securonix platform delivers analytics driven SIEM, SOAR, and NTA, with UEBA at its core, as a pure cloud solution without compromise. Collect, detect, and respond to threats using a single, scalable platform based on machine learning and behavioral analytics. With a focus on outputs, Securonix manages the SIEM so you can focus on responding to threats. -
43
Assure Security
Precisely
Assure Compliance Monitoring is a bundle of Assure Security features. Together, they can quickly identify security and compliance issues by producing alerts and reports on IBM i system activity, database changes and views of Db2 data. The bundle includes two features which are also available separately. Assure Monitoring and Reporting seamlessly extracts insights from IBM i journal data and delivers alerts and reports on security incidents and compliance deviations. System and database monitoring capabilities are available separately or together. Or, choose to send data directly to your enterprise SIEM solution allowing IBM i security to be monitored with all other enterprise platforms. Assure Db2 Data Monitor is a unique, innovative solution that monitors views of highly confidential Db2 data and optionally blocks records from view. Assure Security delivers market-leading IBM i security capabilities that help your organization successfully comply with cybersecurity regulations. -
44
Data Lakes on AWS
Amazon
Many Amazon Web Services (AWS) customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to manage multiple data types from a wide variety of sources, and store this data, structured and unstructured, in a centralized repository. The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers the data lake solution, which is an automated reference implementation that deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets. -
45
Observo AI
Observo AI
Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval. -
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QSE
QSE Group
QSE Group delivers quantum-resilient cybersecurity solutions designed to protect sensitive data from both current and future threats, including quantum computing. Using post-quantum cryptographic algorithms aligned with NIST standards, QSE secures data through encryption, key management, and secure communications. Built with an API-first design, it integrates easily into existing cloud, on-prem, or hybrid environments. Core features include secure entropy generation, zero trust policy enforcement, and compatibility with identity systems and SIEM tools. QSE also supports white-label deployment for SaaS vendors and MSPs. With real-time monitoring, compliance-ready reporting, and applications across finance, healthcare, legal, and government sectors, QSE enables future-proof protection without disrupting current infrastructure. It's a practical, scalable solution for organizations serious about long-term data security.Starting Price: $19.90/month -
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MovingLake
MovingLake
MovingLake provides state-of-the-art real-time data connectors for infrastructure, hospitality, and e-commerce. Power your data warehouse, databases, and data lakes, as well as your microservices using the same API connectors, and get consistent data across all your systems. Make data-driven decisions faster with MovingLake! -
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TrustLogix
TrustLogix
The TrustLogix Cloud Data Security Platform breaks down silos between data owners, security owners, and data consumers with simplified data access management and compliance. Discover cloud data access issues and risks in 30 minutes or less, without requiring visibility to the data itself. Deploy fine-grained attribute-based access control (ABAC) and role-based access control (RBAC) policies and centrally manage your data security posture across all clouds and data platforms. TrustLogix continuously monitors and alerts for new risks and non-compliance such as suspicious activity, over-privileged accounts, ghost accounts, and new dark data or data sprawl, thus empowering you to respond quickly and decisively to address them. Additionally, alerts can be reported to SIEM and other GRC systems. -
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LogPoint
LogPoint
Get a simple and fast security analytics implementation, along with a user-friendly interface that can be integrated with an entire IT infrastructure with LogPoint. LogPoint’s modern SIEM with UEBA provides advanced analytics and ML-driven automation capabilities that enable their customers to securely build-, manage, and effectively transform their businesses.They have a flat licensing model, based on nodes rather than data volume. This helps to reduce the cost of deploying a SIEM solution on-premise, in the cloud or even as an MSSP. The solution integrates easily with all devices in your network, giving a holistic and correlated overview of events in your IT infrastructure. LogPoint’s Modern SIEM solution translates all data into one common language, making it possible to compare events across all systems. Having a common language makes it both very easy and efficient to search, analyze and report on data. -
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Assuria ALM-SIEM
Assuria
ALM-SIEM ingests industry-leading Threat Intelligence feeds, automatically enriching log and event data with key intelligence from these external watchlists and threat data. ALM-SIEM also enriches the Threat Intelligence data feed with additional user-defined threat content, such as specific client context information, white lists etc, further enhancing threat-hunting services. ALM-SIEM is delivered with comprehensive out-of-the-box security controls, threat use cases, and powerful alerting dashboards. Automated analytics using these built-in controls and threat intelligence feeds provides immediately enhanced security defenses, visibility of security issues and mitigation support. Compliance failures also become evident. ALM-SIEM is delivered with comprehensive alerting and operational dashboards to support threat and audit reporting, security detection and response operations and analyst threat-hunting services.
