Alternatives to Apache DevLake
Compare Apache DevLake alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Apache DevLake in 2026. Compare features, ratings, user reviews, pricing, and more from Apache DevLake competitors and alternatives in order to make an informed decision for your business.
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Faros AI
Faros AI
Faros AI connects the dots between your engineering data sources – ticketing, source control, CI/CD, and more – giving unprecedented visibility and insight into your engineering processes. Be amazed at what you can achieve with Faros AI. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice. -
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CDviz
Alchim312
CDviz is an open-source CI/CD observability platform built on CDEvents, the CD Foundation-backed standard for software delivery. It collects events from GitHub, GitLab, ArgoCD, Kubernetes, and more via webhooks and native integrations, normalizes them to the open CDEvents standard, and stores them in PostgreSQL with TimescaleDB. Any reporting tool, Grafana dashboard, internal developer platform, or AI agent can query the data directly via SQL. Out-of-the-box Grafana dashboards cover DORA metrics, deployment timelines, artifact tracking, pipeline and test execution performance, and incident lifecycle. Unlike polling-based tools, CDviz uses a push event-driven model — enabling both real-time observability and automated workflow triggers from the same event stream. Your data stays on your infrastructure, with no vendor lock-in. Licensed under Apache License v2. Free to self-host. An enterprise plan with professional support is currently free in beta. -
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Hatica
Hatica
Engineering Analytics to boost developer productivity -- Hatica equips engineering teams with work visibility dashboards, actionable insights, and effective workflows to drive team productivity and engagement in remote and in-office environments alike. Free forever plans to help you get started quickly. Features: - Engineering metrics dashboards - 100+ metrics from 20+ apps including GitHub, Jira, Slack, Zoom, Google Workplace - Remote work insights - Aggregated work overview, sprint and retro dashboards - DORA metrics, CI/CD performance insights and code review analytics - Collaboration analytics - Team Goals based on dev metrics - Async stand-ups and developer check-ins via Slack and Email - Code quality metrics - Automated Code reviewsStarting Price: $15/month/user -
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Oobeya
Oobeya
Oobeya is an engineering intelligence platform that helps software development teams accelerate their value delivery performance. Oobeya works with code repositories, issue tracking, testing, application performance monitoring (APM), and incident management tools to measure engineering metrics, like cycle time, lead time, sprint planning accuracy, pull request metrics, and value stream metrics (VSM), and DevOps DORA metrics. Oobeya's goal is to help software engineering teams to make a shift from an intuition-driven approach to a data-driven approach by plugging into the SDLC toolset. Oobeya connects to Git repositories like GitHub, GitLab, Bitbucket, Azure DevOps, issue tracking systems like Jira and Azure Boards, and CI/CD platforms like Github Actions, GitLab CI, Azure Pipelines, and Jenkins.Starting Price: $12 per dev / month -
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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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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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SelectDB
SelectDB
SelectDB is a modern data warehouse based on Apache Doris, which supports rapid query analysis on large-scale real-time data. From Clickhouse to Apache Doris, to achieve the separation of the lake warehouse and upgrade to the lake warehouse. The fast-hand OLAP system carries nearly 1 billion query requests every day to provide data services for multiple scenes. Due to the problems of storage redundancy, resource seizure, complicated governance, and difficulty in querying and adjustment, the original lake warehouse separation architecture was decided to introduce Apache Doris lake warehouse, combined with Doris's materialized view rewriting ability and automated services, to achieve high-performance data query and flexible data governance. Write real-time data in seconds, and synchronize flow data from databases and data streams. Data storage engine for real-time update, real-time addition, and real-time pre-polymerization.Starting Price: $0.22 per hour -
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LakeTech
LakeTech
Leverage the power of advanced technology for comprehensive and effective management of your lakes and ponds. LakeTech is a cutting-edge water resources management software designed to help you maintain the health and quality of lakes and ponds. Our software helps you improve water quality sampling and monitoring in the field and helps you understand how various factors, such as weather and pollution, impact water quality. Our water quality data dashboards offer a dynamic and user-friendly platform for tracking and interpreting water quality data. Harnessing the power of sophisticated algorithms and data visualization tools, LakeTech's dashboards transform complex datasets into clear, actionable insights. Stay updated with real-time data on water quality parameters such as pH, dissolved oxygen, turbidity, and temperature. Access and analyze historical data to identify trends and potential issues in your water bodies over time. -
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Simplify big data operations and build intelligent knowledge libraries with Data Lake Governance Center (DGC), a one-stop data lake operations platform that manages data design, development, integration, quality, and assets. Build an enterprise-class data lake governance platform with an easy-to-use visual interface. Streamline data lifecycle processes, utilize metrics and analytics, and ensure good governance across your enterprise. Define and monitor data standards, and get real-time alerts. Build data lakes quicker by easily setting up data integrations, models, and cleaning rules, to enable the discovery of new reliable data sources. Maximize the business value of data. With DGC, end-to-end data operations solutions can be designed for scenarios such as smart government, smart taxation, and smart campus. Gain new insights into sensitive data across your entire organization. DGC allows enterprises to define business catalogs, classifications, and terms.Starting Price: $428 one-time payment
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Alibaba Cloud Data Lake Formation
Alibaba Cloud
A data lake is a centralized repository used for big data and AI computing. It allows you to store structured and unstructured data at any scale. Data Lake Formation (DLF) is a key component of the cloud-native data lake framework. DLF provides an easy way to build a cloud-native data lake. It seamlessly integrates with a variety of compute engines and allows you to manage the metadata in data lakes in a centralized manner and control enterprise-class permissions. Systematically collects structured, semi-structured, and unstructured data and supports massive data storage. Uses an architecture that separates computing from storage. You can plan resources on demand at low costs. This improves data processing efficiency to meet the rapidly changing business requirements. DLF can automatically discover and collect metadata from multiple engines and manage the metadata in a centralized manner to solve the data silo issues. -
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Typo
PeopleMint AI
Typo is an AI-driven software delivery management platform that enables tech teams with real-time SDLC visibility, automated code reviews & DevEx insights to code better, deploy faster & stay aligned with business goals. It connects with your existing tool stack (Git, Project management, CI/CD, Incidents, Slack, etc) within 30 seconds & provides: - Real-time SDLC visibility, DORA Metrics & Delivery Intelligence - Automated code reviews, vulnerabilities & auto-fixes - DevEx insights & predictive burnout zones Start your 14-day free trial today & join 1000+ high-performing engineering teams across the globe that are using Typo to ship reliable software faster.Starting Price: $16/month/user -
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DevDynamics
DevDynamics
The all-in-one engineering management platform with metrics, AI insights, developer surveys and automations. Metrics like DORA, cycle time, and flow. Measure velocity, quality, productivity and more. Connect all the tools from your tech stack. Integrations with GitHub, Jira, CI/CD, PagerDuty and more. Create custom metrics easily with our metric builder UI. Set up dashboards to match your engineering org’s needs. Understand things that require attention like bottlenecks, best practices, team issues etc. Get reports covering important metrics and insights for your teams. Configure reports to stay informed on your team’s progress and priorities. Understand how your team’s time is spent—whether on new features, KTLO, or unplanned work. See engineering costs to deliver important initiatives and client work.Starting Price: $15 per contributor per month -
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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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AnalyticsVerse
AnalyticsVerse
Increase visibility, eliminate blockers, and deliver faster. We correlate data from your Git repositories and project management tools and generate easy-to-understand reports with actionable metrics and insights. Spot bottlenecks within your teams and resolve them before they affect delivery. Look at things like cycle time of MRs, risky MRs, and higher team inactivity. Track process improvements and avoid having to guess whether your changes are actually working. Run a truly agile engineering team. You can easily identify overburdened or blocked developers in your team and help them out! Get the power of a BI tool without having to define and compute metrics. Also, create your own customized dashboards with metrics and visualizations that matter to you. Focus more on improving things at a team and project level without trying to improve and manage developer productivity. Understand the speed and stability of your projects through research-backed DORA Metrics.Starting Price: $13.70 per month -
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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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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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Locus
EQ Works
With multiple environments to work in, Locus provides a streamlined method of deep analysis of geospatial data for everyone from tech-challenged marketers, to deep query analysis for data scientists and analysts, to top-level metrics for data-driven execs hungry to find their next success. This provides for the most secure, efficient and seamless way to connect other data sources or your data lake to LOCUS. Connection Hub has integrated data lineage governance and transformation capabilities built-in to allow for further integration with tools such as LOCUS Notebook and LOCUS QL. EQ builds its own directed acyclical graph processor on top of the popular Apache Airflow framework. The DAG Builder has been engineered to crunch (and munch) your geospatial workflows with over twenty (20) built-in helper stages. -
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DX
DX
DX is the developer intelligence platform designed by leading researchers. Get the insights you need to lead with confidence and drive higher impact per developer. DORA metrics and pull requests don't tell the full story. DX augments metrics with developer experience insights, giving you a complete view. DX unifies qualitative and quantitative data across channels, giving you a comprehensive view of developer productivity. A research-backed platform for measuring developer experience. The data and analytics platform is made for engineering. Build better platform tools with real-time intelligence into developer usage. Streamline developer onboarding with real-time insights from new hires. Leverage our expert guidance and services to lead high-impact DevEx initiatives. DX is designed by the world's foremost experts on developer productivity. -
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GitView
GitView
GitView is a git analytics solution for engineering leaders. Get the status of work across your engineering organization all in one view. You'll see code changes, pull requests, and reviews. Leverage meaningful metrics that help measure which code changes are actually impactful. Easy to read graphs and tables display impact scores and whether code changes are new work, churn, a legacy change (refactor), or a simple removal. Dig into DORA insights like deployment frequency, lead time for changes, and change failure rate. Visual displays of velocity, and extensive cycle time breakdown, help spot bottlenecks and improve efficiency. All data can be filtered by teams, contributors, repositories and more. We emphasize transparency & customizability. You have the ability to see how each data point is calculated. Plus, using Raw SQL, we offer you the power to create custom reports, dashboards, emailers, and notifications so you get the information you need the way you want!Starting Price: $13 per developer per month -
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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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Tokern
Tokern
Open source data governance suite for databases and data lakes. Tokern is a simple to use toolkit to collect, organize and analyze data lake's metadata. Run as a command-line app for quick tasks. Run as a service for continuous collection of metadata. Analyze lineage, access control and PII datasets using reporting dashboards or programmatically in Jupyter notebooks. Tokern is an open source data governance suite for databases and data lakes. Improve ROI of your data, comply with regulations like HIPAA, CCPA and GDPR and protect critical data from insider threats with confidence. Centralized metadata management of users, datasets and jobs. Powers other data governance features. Track Column Level Data Lineage for Snowflake, AWS Redshift and BigQuery. Build lineage from query history or ETL scripts. Explore lineage using interactive graphs or programmatically using APIs or SDKs. -
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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. -
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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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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Onehouse
Onehouse
The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion. -
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Swarmia
Swarmia
Swarmia is an engineering effectiveness platform that gives software development leaders, managers, and teams visibility across three key areas: business outcomes, developer productivity, and developer experience. It connects with the platforms your engineering teams are already using: source code hosting, issue tracker, and chat. With Swarmia, you'll stay on top of strategic initiatives, measure key engineering metrics (including DORA and SPACE), and drive continuous improvement in teams.Starting Price: $20 per 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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Echoes
Echoes HQ
Echoes gives you comprehensive insights into your teams and control over your projects delivery. Visualize your organization's delivery status at a glance. Echoes connects the dots across your different development tools to provide a consolidated overview of your project portfolio. No more need to manually reconcile multiple data sources. Echoes leverages its knowledge of the activity to automatically identify and highlight the factors putting your delivery at risk. Get a live pulse of the execution and improve predictability. Echoes analyzes your team's activity to detect risks and suggest improvements. Don't get drowned in vanity metrics, get alerted when situations requires your attention. Echoes combines data from your roadmap, OKRs, delivery performance metrics (DORA), teams interactions, and more, to reveal what isolated metrics cannot tell you. Visualize your team’s efforts against company priorities and gain an understanding of where energy is being allocated. -
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Kyligence
Kyligence
Let Kyligence Zen take care of collecting, organizing, and analyzing your metrics so you can focus more on taking action Kyligence Zen is the go-to low-code metrics platform to define, collect, and analyze your business metrics. It empowers users to quickly connect their data sources, define their business metrics, uncover hidden insights in minutes, and share them across their organization. Kyligence Enterprise provides diverse solutions based on on-premise, public cloud, and private cloud, helping enterprises of any size to simplify multidimensional analysis based on massive amounts of data according to their business needs. Kyligence Enterprise, based on Apache Kylin, provides sub-second standard SQL query responses based on PB-scale datasets, simplifying multidimensional data analysis on data lakes for enterprises and enabling business users to quickly discover business value in massive amounts of data and drive better business decisions. -
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Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
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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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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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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 -
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iftrue
iftrue
iftrue is an AI-powered, Slack-native assistant designed to give engineering leaders instant visibility into team progress, risks, and capacity without leaving Slack. It aggregates real-time data from tools like GitHub, GitLab, Jira, and Azure, enabling managers to ask natural-language questions and receive context-aware answers and smart alerts directly in chat. With built-in support for DORA metrics and delivery signals, iftrue spots blockers and slipping deadlines early, preps sharper, faster stand-ups by collecting updates across systems, and delivers tailored advice grounded in your team’s workflow and best practices. Its unified dashboard and Slack integration eliminate tab hopping and chasing updates, turning status tracking and sprint planning into an on-demand conversation that keeps teams aligned, unblocks progress, and drives delivery forward.Starting Price: $99 per month -
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Apache RocketMQ
Apache Software Foundation
Apache RocketMQ™ is a unified messaging engine, lightweight data processing platform. Financial-grade stability, widely used in transaction core links. Seamless connection to surrounding ecosystems such as microservices, real-time computing, and data lakes. Configurable, low-code way to integrate data, can establish connection with any system, can be used to build streaming ETL, data pipeline, data lake, etc. Stream computing engine that provides light weight, high scalability, high performance and rich functions. Rich message type support and message governance methods to meet serverless application scenarios with message granularity load balancing. Apache RocketMQ has been widely adopted by many enterprise developers and cloud vendors due to its simple architecture, rich business functions, and strong scalability. -
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Tarsal
Tarsal
Tarsal's infinite scalability means as your organization grows, Tarsal grows with you. Tarsal makes it easy for you to switch where you're sending data - today's SIEM data is tomorrow's data lake data; all with one click. Keep your SIEM and gradually migrate analytics over to a data lake. You don't have to rip anything out to use Tarsal. Some analytics just won't run on your SIEM. Use Tarsal to have query-ready data on a data lake. Your SIEM is one of the biggest line items in your budget. Use Tarsal to send some of that data to your data lake. Tarsal is the first highly scalable ETL data pipeline built for security teams. Easily exfil terabytes of data in just just a few clicks, with instant normalization, and route that data to your desired destination. -
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Cribl Search
Cribl
Cribl Search delivers next-generation search-in-place technology, empowering users to explore, discover, and analyze data that was previously impossible – directly at its source, across any cloud, even data locked behind APIs. Effortlessly search your Cribl Lake or sift through data in major object stores like AWS S3, Amazon Security Lake, Azure Blob, and Google Cloud Storage, and enrich your insights by querying dozens of live API endpoints from various SaaS providers. The power of Cribl Search lies in its strategic approach: forward only the critical data to your systems of analysis, thus avoiding the cost of expensive storage. With native support for platforms such as Amazon Security Lake, AWS S3, Azure Blob, and Google Cloud Storage, Cribl Search delivers a first-of-its-kind ability to seamlessly analyze all data right at its source. Cribl Search allows users to search and analyze data wherever it is located, from debug logs at the edge to archived data in cold storage. -
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TimeLake
TimeLake
TimeLake is a smart time-tracking and work-insights platform built for software teams, agencies, consulting firms and remote workforces. It automatically captures activity-based data and transforms it into accurate time sheets, dashboards and detailed reports, so managers and team leads can instantly see who’s working on what, how time is being spent, and where efficiencies or bottlenecks lie. The solution provides real-time visibility into project status, supports multiple projects per team member, and delivers customizable analytics that help convert raw hours into billable time and strategic decision-making. With features like automated timesheets, unlimited projects, and a free-forever plan, TimeLake aims to reduce administrative overhead while boosting productivity, project accuracy and reporting clarity. The platform emphasizes simplicity and ease-use: teams can start tracking with minimal setup, use intuitive dashboards to monitor progress and generate exportable data.Starting Price: €0.99 per month -
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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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SHREWD Platform
Transforming Systems
Harness your whole system’s data with ease, with our SHREWD Platform tools and open APIs. SHREWD Platform provides the integration and data collection tools the SHREWD modules operate from. The tools aggregate data, storing it in our secure, UK-based data lake. This data is then accessed by the SHREWD modules or an API, to transform the data into meaningful information with targeted functions. Data can be ingested by SHREWD Platform in almost any format, from analog in spreadsheets, to digital systems via APIs. The system’s open API can also allow third-party connections to use the information held in the data lake, if required. SHREWD Platform provides an operational data layer that is a single source of the truth in real-time, allowing the SHREWD modules to provide intelligent insights, and managers and key decision-makers to take the right action at the right time. -
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Sleuth
Sleuth Enterprises
Track software deployments through your remote team's complete DevOps stack. Improve uptime and stop change-related incidents before they ship. Provide you and your stakeholders visibility into the value of your releases with historical metrics and dashboards highlighting performance trends over time. Get full visibility and reporting across your team’s entire DevOps stack.Starting Price: $30 per month -
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HPE Consumption Analytics
Hewlett Packard Enterprise
The HPE Consumption Analytics Portal is now the metering and analytics component of HPE GreenLake, the consumption-based IT offering from HPE Pointnext Services that gives you the agility and economics of the public cloud in your own data center. Get granular visibility into your usage and costs with interactive dashboards and a drag-and-drop report experience. Stay on top of IT spending with flexible budgets and a rules-based recommendation engine for consumption-based services. Forecast demand to prevent a shortage from becoming an outage with decision-making power to plan your capacity. he HPE Consumption Analytics Portal is part of HPE GreenLake, delivering even more transparency into how your usage and commitments determine your monthly cost. Get more decision-making power to plan your capacity for best workload performance. -
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Dataroid
Dataroid
Enterprise-level digital analytics and customer engagement platform that helps you enhance every customer interaction and deliver a better experience with data-driven insight. Comprehend and enhance every customer interaction. Take real-time actions. Start delivering a better experience. Collect customer behavioral data across your channels automatically from day 1 – without custom development. See each individual customer interaction under a unified customer profile. Analyze customer paths and journeys with visual dashboards. Deep dive into the reason behind with out-of-the box analytics reporting and Dataroid’s data lake. Measure real-time engagement metrics for your communication. Use Dataroid to better understand your customer behavior, enhance digital product experience, and drive retention. -
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Propelo
Propelo
Find your high points and overcome hidden bottlenecks. Actionable insights to improve efficiency and agile velocity in every stage of your DevOps lifecycle. Connect data across Jira, Jenkins, GitHub, GitLab, Azure DevOps, SonarQube & many more. Software metrics and insights for agile velocity, quality, security and data hygiene. Customizable dashboards with the ability to roll up or drill down into details. Build high-quality products faster, deliver customer-centric outcomes. Improve data hygiene, drive process efficiency. Build a culture of collaboration and appreciation, improve retention. Monitor quality of requirements definition, acceptance criteria, agile sprint plans. Automate issue routing & task reminders, reduce unproductive wait times. Early risk warnings on sprint slips. Make decisions based on customer impact. Timely reminders to accelerate PR reviews & merges, improve velocity. Conditionally automate repeated task sequences, reducing cognitive overload. -
45
Compass
Atlassian
Catalog everything, improve software health, and keep everyone in the flow with Atlassian’s Developer Experience Platform. Track all of your services and systems, improve your software health and engineering standards, and create a better developer experience with Compass Track software health metrics, apply security and health scorecards, and empower teams to improve their developer experience. Never get stuck searching during an incident. Quickly identify who owns a service and critical details including recent changes, dependencies, errors, and more. Easily track DORA, SPACE and DevEx metrics across teams and services to identify bottlenecks and improve your Developer Experience. Don’t get lost in the wilderness of repos, channels, or docs. Whether on-call or building a new service, reduce time spent searching with all of the details you need in one catalog. -
46
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. -
47
Electrik.Ai
Electrik.Ai
Automatically ingest marketing data into any data warehouse or cloud file storage of your choice such as BigQuery, Snowflake, Redshift, Azure SQL, AWS S3, Azure Data Lake, Google Cloud Storage with our fully managed ETL pipelines in the cloud. Our hosted marketing data warehouse integrates all your marketing data and provides ad insights, cross-channel attribution, content insights, competitor Insights, and more. Our customer data platform performs identity resolution in real-time across data sources thus enabling a unified view of the customer and their journey. Electrik.AI is a cloud-based marketing analytics software and full-service platform. Electrik.AI’s Google Analytics Hit Data Extractor enriches and extracts the un-sampled hit level data sent to Google Analytics from the website or application and periodically ships it to your desired destination database/data warehouse or file/data lake.Starting Price: $49 per month -
48
Lake.com
Lake.com
Lake.com is a vacation rental marketplace specializing in lakefront homes, cabins, and cottages that offer unique lodging experiences beyond traditional hotels. Guests can search by location, dates, and guest count to find family-friendly, pet-friendly, or luxury properties with easy booking options. The platform emphasizes direct communication between guests and hosts, transparent pricing with no guest platform fees, and a secure booking process. Lake.com also supports hosts by providing tools to list properties and manage rentals smoothly. The site features curated destination guides and travel reports to inspire lake vacations and outdoor activities. With thousands of trusted properties, Lake.com aims to connect travelers with memorable lakeside stays across the U.S. and beyond. -
49
Dataddo
Dataddo
Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dashboards: Send data from apps to dashboarding tools for insights in record time. A free version is available for this product! - Data Anywhere: Send data from apps to warehouses and dashboards, between warehouses, and from warehouses into apps. - Headless Data Integration: Build your own data product on top of the unified Dataddo API. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. From first login to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.Starting Price: $99/source/month -
50
HPE ProLiant
Hewlett Packard Enterprise
Eliminate complexity and speed your transformation with intuitive modern compute management with HPE GreenLake for Compute Ops Management. Deploy integrated end-to-end infrastructure with AI ecosystem to optimize performance and efficiency regardless of location. HPE delivers high-powered systems optimized and tuned specifically for scaling AI production across the enterprise. HPE solves your top challenges to make your AI projects effective and simple to manage. HPE GreenLake delivers a trusted, enterprise-grade AI with a cloud-like experience, so you can accelerate your data modernization initiatives, from edge to cloud.
