Alternatives to Cloud BI
Compare Cloud BI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Cloud BI in 2026. Compare features, ratings, user reviews, pricing, and more from Cloud BI competitors and alternatives in order to make an informed decision for your business.
-
1
Dynamo Software
Dynamo Software
Transform how you manage alternative investments with Dynamo Software’s cloud-native, AI-powered platform that unifies front-, middle-, and back-office operations into one configurable solution. For General Partners (GPs), Dynamo provides an edge with advanced CRM, deal pipeline management, fundraising support, investor relations, and secure fund accounting. Limited Partners (LPs) gain real-time research and portfolio management tools, featuring automated document processing, data extraction, and deep exposure analytics. Key features include AI-driven data automation, dynamic dashboards, tailored reporting, and seamless API integrations. We support GAAP and ILPA standards and offer robust what-if modeling capabilities, all secured by enterprise-grade protocols (SOC, NIST, ISO/IEC). Built for scalability and precision, Dynamo empowers firms to streamline workflows, improve data accuracy, and drive alpha through intelligent automation. -
2
Amazon DynamoDB
Amazon
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events. -
3
AWS Lambda
Amazon
Run code without thinking about servers. Pay only for the compute time you consume. AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app. AWS Lambda automatically runs your code without requiring you to provision or manage servers. Just write the code and upload it to Lambda. AWS Lambda automatically scales your application by running code in response to each trigger. Your code runs in parallel and processes each trigger individually, scaling precisely with the size of the workload. -
4
AWS Auto Scaling
Amazon
AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time. -
5
AWS IoT Core
Amazon
AWS IoT Core lets you connect IoT devices to the AWS cloud without the need to provision or manage servers. AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. AWS IoT Core also makes it easy to use AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure. AWS IoT Core allows you to connect any number of devices to the cloud and to other devices without requiring you to provision or manage servers. -
6
Scale to Zero AWS
Scale to Zero AWS
The Scale to Zero AWS Kit is a production-ready, highly scalable, and cost-efficient serverless solution designed to simplify application deployment on Amazon Web Services (AWS). It leverages AWS services such as Lambda, API Gateway, DynamoDB, S3, CloudFront, SES, Cognito, and SQS to create a robust infrastructure that scales resources to zero when not in use, ensuring that you only pay for what you utilize. The kit adheres to AWS's best practices for serverless architecture, guaranteeing high scalability, resilience, and performance. It includes separate frontend applications for landing, authentication, and dashboard functionalities, all built with modern technologies like Node.js, React, and TypeScript. Authentication and authorization are managed through AWS Cognito, supporting various login methods, including social logins. Payment processing is integrated with Stripe and Lemon Squeezy, featuring resilient webhooks configured using SQS and Lambda.Starting Price: $90 one-time payment -
7
Amazon DynamoDB is designed for scale and performance. In most cases, the DynamoDB response times can be measured in single-digit milliseconds. However, there are certain use cases that require response times in microseconds. For these use cases, DynamoDB Accelerator (DAX) delivers fast response times for accessing eventually consistent data. DAX reduces operational and application complexity by providing a managed service that is API-compatible with DynamoDB. Therefore, it requires only minimal functional changes to use with an existing application. For read-heavy or bursty workloads, DAX provides increased throughput and potential operational cost savings by reducing the need to overprovision read capacity units. This is especially beneficial for applications that require repeated reads for individual keys.
-
8
SenseDeep
SenseDeep
Accelerate, design, debug and deliver serverless faster! The most powerful collection of DynamoDB tools with single-table aware data browser, designer, provisioning planner, migration manager and metrics. Browser and manage tables that understands your single-table designs. Manage schemas and entities with the single-table designer. Determine best provisioning with real historical data. Upgrade and downgrade data with the migration manager. See exactly how your DynamoDB table is performing with detailed metrics at the account, table and single-table entity levels. Automated error detection for application, database and service events. Create Alarms and alerts for application log events, metrics, events and DynamoDB performance. Don't get swamped by alerts via smart notification dampening. Select monitored resources by tags, regular expressions or list. -
9
AWS AppSync
Amazon
Accelerate app development with scalable GraphQL APIs. Organizations choose to build APIs with GraphQL because it helps them develop applications faster, by giving front-end developers the ability to query multiple databases, microservices, and APIs with a single GraphQL endpoint. AWS AppSync is a fully managed service that makes it easy to develop GraphQL APIs by handling the heavy lifting of securely connecting to data sources like AWS DynamoDB, Lambda, and more. Adding caches to improve performance, subscriptions to support real-time updates, and client-side data stores that keep off-line clients in sync are just as easy. Once deployed, AWS AppSync automatically scales your GraphQL API execution engine up and down to meet API request volumes. AWS AppSync offers fully managed GraphQL API and Pub/Sub API setup, administration, auto-scaling, and high availability. Easily secure, monitor, log, and trace your API via built-in support for AWS WAF, CloudWatch and X-Ray. -
10
DataSource
1WorldSync
DataSource converts non-standardized product information from multiple sources into consistent content that is the foundation of retail and distributor websites. DataSource™ converts non-standardized product information from multiple sources into consistent content for electronic product catalogs by taking product information from multiple manufacturers, processing it into a standard product data model, and storing the standardized data in a structured data repository. DataSource delivers the most accurate, complete, and trusted product content solution in the industry, has more product information from more vendors, and supports more languages than any other provider, Content is delivered quickly at a lower cost and a greater level of detail than any internal team. Guide consumers through refined searches to find the desired products with searchable attributes. -
11
Cloudcraft
Cloudcraft
Create a professional architecture diagram in minutes with the Cloudcraft visual designer, optimized for AWS with smart components. Whether you're starting a new project, or importing your existing AWS environment, Cloudcraft is the fastest and easiest way to iterate on your design. Capture your key services with smart components for EC2, ELB, Lambda, RDS, DynamoDB, Kinesis, Redshift, CloudFront, Route 53 etc. Click any component to see the current config and cost. Jump straight into the AWS Web Console for Live resources and tags. Simple. Share and edit diagrams online with your whole team, export to docs, wikis & presentations. Add documentation directly to your diagrams and AWS resources. Don't struggle with generic drawing tools. Create live architectures with Cloudcraft, not outdated static artifacts. Seamlessly pivot between perspectives or define your own visual style. By modeling the underlying system architecture, not generic boxes and arrows.Starting Price: $49.00/month/user -
12
AWS HealthLake
Amazon
Extract meaning from unstructured data with integrated Amazon Comprehend Medical for easy search and querying. Make predictions on health data using Amazon Athena queries, Amazon SageMaker ML models, and Amazon QuickSight analytics. Support interoperable standards such as the Fast Healthcare Interoperability Resources (FHIR). Run medical imaging applications in the cloud to increase scale and reduce costs. AWS HealthLake is a HIPAA-eligible service offering healthcare and life sciences companies a chronological view of individual or patient population health data for query and analytics at scale. Analyze population health trends, predict outcomes, and manage costs with advanced analytics tools and ML models. Identify opportunities to close gaps in care and deliver targeted interventions with a longitudinal view of patient journeys. Apply advanced analytics and ML to newly structured data to optimize appointment scheduling and reduce unnecessary procedures. -
13
AWS Data Pipeline
Amazon
AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.Starting Price: $1 per month -
14
ScyllaDB
ScyllaDB
ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows. Unlike any other database, ScyllaDB is a distributed NoSQL database fully compatible with Apache Cassandra and Amazon DynamoDB, yet is built with deep architectural advancements that enable exceptional end-user experiences at radically lower costs. Over 400 game-changing companies like Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung use ScyllaDB for their toughest database challenges. ScyllaDB is available as free open source software, a fully-supported enterprise product, and a fully managed database-as-a-service (DBaaS) on multiple cloud providers. -
15
Knowi
Knowi
Business Intelligence, AI & NLP for anyone to make data-driven decisions. Knowi instantly transforms any data into insights and data driven actions. No ETL. No ODBC drivers. You just connect your datasources and start building queries. Simple as that. Create blended datasets by joining data from NoSQL, SQL, REST-API, and even file-based sources in a matter of minutes. Click. Done. We've combined the power of AI and natural language queries to deliver a new self-service BI experience that makes it easier for anyone to find and expose new insights. Today's data is big and messy and located all over the place. To analyze modern data, you need an business intelligence solution that can instantly connect to any data, structured or unstructured, without the hassle and expense of moving or transforming it. Knowi is the only full stack analytics platform that natively integrates to all the popular NoSQL data stores, as well as relational and Cloud APIs sources. -
16
Hackolade
Hackolade
Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.Starting Price: €175 per month -
17
Amazon QuickSight
Amazon
Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. QuickSight powers millions of dashboard views weekly for customers such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western and Comcast, allowing their end-users to make better data-driven decisions. Ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations without the time-consuming data preparation from authors and admins. Discover hidden insights from your data, perform accurate forecasting and what-if analysis, or add easy-to-understand natural language narratives to dashboards by leveraging AWS' expertise in machine learning. Easily embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications. -
18
Confidant
Confidant
Confidant is a open source secret management service that provides user-friendly storage and access to secrets in a secure way, from the developers at Lyft. Confidant solves the authentication chicken and egg problem by using AWS KMS and IAM to allow IAM roles to generate secure authentication tokens that can be verified by Confidant. Confidant also manages KMS grants for your IAM roles, which allows the IAM roles to generate tokens that can be used for service-to-service authentication, or to pass encrypted messages between services. Confidant stores secrets in an append-only way in DynamoDB, generating a unique KMS data key for every revision of every secret, using Fernet symmetric authenticated cryptography. Confidant provides an AngularJS web interface that allows end-users to easily manage secrets, the mappings of secrets to services and the history of changes. -
19
Lola
Lola
Search across more than 20+ resource types and quickly jump to the AWS console across accounts and regions. Context-aware syntax highlighting helps you spot relevant information in your Cloudwatch logs. Quickly scan and query your DynamoDB tables and find your data with a full-text search. Lola is a blazingly fast desktop app for macOS, Windows, and Linux. Just install and run - no changes to your AWS account are required. -
20
AWS Backup
Amazon
AWS Backup is a fully managed backup service that makes it easy to centralize and automate the backup of data across AWS services. Using AWS Backup, you can centrally configure backup policies and monitor backup activity for AWS resources, such as Amazon EBS volumes, Amazon EC2 instances, Amazon RDS databases, Amazon DynamoDB tables, Amazon EFS file systems, and AWS Storage Gateway volumes. AWS Backup automates and consolidates backup tasks previously performed service-by-service, removing the need to create custom scripts and manual processes. With just a few clicks in the AWS Backup console, you can create backup policies that automate backup schedules and retention management. AWS Backup provides a fully managed, policy-based backup solution, simplifying your backup management, enabling you to meet your business and regulatory backup compliance requirements. -
21
Apache Superset
Apache
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. -
22
Repozix
Repozix
Repozix is a collaborative digital marketing & social media reporting platform. Reporting can be challenging and time consuming especially for agencies with lots of clients who have different needs. To simplify this process, Repozix allows users to create insightful and rich reports using a powerful no-code report editor. Customizations and white-labelling features including custom-domains are available on an account, report and widget levels. Repozix is built for advanced analytics by supporting multi-datasource reports. Even better, you can create a widget with many data elements and different data sources for the data elements. The best part is that you can create templates from your finalized reports and use them to create new reports with different datasources. Finally, you can use tags to organize your reports and data sources as you see fit. All of these tasks can be done by an individual or a team in a collaborative way.Starting Price: $19/month -
23
Amazon Quick Suite
Amazon
Amazon QuickSuite is a unified generative-AI and analytics workspace designed to help business users, analysts, and domain experts turn data, workflows, and internal knowledge into actionable insights and automation. The platform brings together multiple capabilities; interactive dashboards and visualizations (leveraging the existing QuickSight service), natural-language Q&A and generative BI, workflow automation, deep data discovery and research agents, and connector support for enterprise systems and SaaS tools. From a data perspective, QuickSuite enables users to connect multiple data sources, spreadsheets, cloud warehouses, third-party apps, and on-premises systems, and ask questions in plain language, build dashboards, schedule reports, or trigger automations. From a workflow perspective, it allows non-technical roles to automate routine tasks, such as report generation, alerting, or data onboarding, through agent-powered flows. -
24
Finout
Finout
Finout combines Cloud Providers, Data Warehouses, and CDNs into one mega bill, enabling an unparalleled business context view of your cloud spend with no heavy lifting in minutes. Monitor anomalies, view recommendations and forecast cost per growth. While AWS charges you by the instance, you genuinely care about your pod cost. With no-agent integration, utilize your existing Datadog or Prometheus to get a pod-level granularity of your spend in minutes. Forget about absolute cloud cost. See the cost of what you are utilizing and not only what you are paying for. For example, view Kubernetes pods instead of EC2 instances and DynamoDB indexes. Finout can give you one unified language the entire company can talk in, not only DevOps.Starting Price: $500 per month -
25
CData Connect
CData Software
CData Connect Your organization depends on real-time business and operational data to deliver actionable insights and drive growth. CData Connect is the missing link in your data value chain. CData Connect enables direct connectivity from any application that supports standard database connectivity, including popular cloud BI and ETL applications, such as: - Amazon Glue - Amazon QuickSight - Domo - Google Apps Script - Google Cloud Data Flow - Google Cloud Data Studio - Looker - Microsoft Power Apps - Microsoft Power Query - MicroStrategy Cloud - Qlik Sense Cloud - SAP Analytics Cloud - SAS Cloud - SAS Viya - Tableau Online ... and many more! CData Connect acts like a data gateway, translating SQL, and securely proxying API requests. -
26
Hopsworks
Logical Clocks
Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.Starting Price: $1 per month -
27
SSIS PowerPack
ZappySys
SSIS PowerPack is a collection of 70+ high-performance, drag-and-drop connectors/tasks for SSIS (i.e. Microsoft SQL Server Integration Services). SSIS PowerPack is designed to boost your productivity using easy-to-use, coding-free components to connect many cloud as well as on-premises data sources such as REST API Services, Azure Cloud, Amazon AWS Cloud, MongoDB, JSON, XML, CSV, Excel, Salesforce, Redshift, DynamoDB, Google API (i.e. Analytics, AdWords), SOAP/Web API, Facebook, Twitter, Zendesk, eBay and many more. SSIS PowerPack also includes high-quality FREE commercial components and tasks with full support/upgrade. Inbuilt Layout Editor for creating complex XML with nested structure (Document Array, Nested attributes, CData Section). Automatically Split exported XML data into multiple files by Size or Number of records. Read XML Document and extract single or multiple properties by name or using XPath expression. -
28
Apache Hive
Apache Software Foundation
The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API. -
29
Serverless
Serverless
Declare AWS Lambda functions and their triggers through simple abstract syntax in YAML. AWS Lambda functions, triggers & code will be deployed and wired together in the cloud, automatically. Install thousands of Serverless Framework Plugins to build new serverless use-cases on AWS and integrate with other tools. Track usage, performance, errors on your serverless apps with instant, powerful metrics. See all of your serverless applications and their resources in one place, regardless of AWS account or region. Easily share secrets, outputs from your serverless applications and delegate AWS account access. You can deploy many familiar use-cases instantly with the Serverless Framework. From REST APIs on Node.js, Python, Go, Java, to GraphQL APIs, scheduled tasks, Express.js applications, and front-end applications.Starting Price: $20 per month -
30
GeoSpock
GeoSpock
GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js. -
31
EZConvertBI
Wavicle Data Solutions
EZConvertBI is an AI-powered business intelligence migration solution designed to automate the complex process of transferring dashboards, reports, datasets, and analytics from legacy BI platforms such as Tableau, Qlik, and Power BI to modern, cloud-native environments like Amazon QuickSight, Looker, and Power BI. It enables organizations to migrate BI assets with up to 90% faster execution and significantly reduced costs while preserving visual integrity, business logic, SQL queries, extracts, and calculations throughout the transition. It includes an Analyzer component that connects to existing BI systems or uploaded workbooks to assess complexity, identify duplicate or unused dashboards, and generate detailed diagnostic reports with migration scope, cost, and impact estimates. Its automated conversion engine maps and transforms dashboards, datasets, and queries into the target environment, maintaining functionality and ensuring accurate replication of visuals and logic. -
32
NoSQL
NoSQL
NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages. -
33
Thinkmap
Thinkmap
The Thinkmap SDK enables organizations to incorporate data-driven visualization technology into their enterprise Web applications. Thinkmap applications allow users to make sense of complex information in ways that traditional interfaces are incapable of. The Thinkmap SDK (v. 2.8) includes a set of out-of-the-box configurations for solving common visualization problems, as well as new visualization techniques for customizing data displays. We have designed Thinkmap to be lightweight, fast, easily extensible, and able to connect seamlessly to a wide variety of data sources. The SDK includes conceptual documentation and detailed JavaScript reference for the Visualization Component; datasource adapters for relational databases and flat files; a library of traditional user interface elements that can be used as components in a Thinkmap application; and a complete set of examples to help developers get up-and-running quickly. -
34
cloud-init
cloud-init
Cloud images are operating system templates and every instance starts out as an identical clone of every other instance. It is the user data that gives every cloud instance its personality and cloud-init is the tool that applies user data to your instances automatically. Including datasource and module references, and plenty of examples. While cloud-init started life in Ubuntu, it is now available for most major Linux and FreeBSD operating systems. For cloud image providers, then cloud-init handles many of the differences between cloud vendors automatically — for example, the official Ubuntu cloud images are identical across all public and private clouds. -
35
Stem Athena
Stem
It’s time to get smart about your energy strategy Drive profitability, sustainability, and resilience with AI energy storage. Athena: The brains behind the batteries. A battery is only as valuable as the software that operates it. As the industry-leading platform, Athena performs critical decision-making in real time, unlocking hidden cashflows for customers. Athena accurately forecasts energy demand onsite and energy demand on the grid. With each product update, forecasting improves. We take pride in delivering the most precise and accurate predictions in the industry, proven by a track record of customer success. To deliver the most value possible from a storage project, Athena optimizes across multiple applications such as demand charge management, energy arbitrage, wholesale market participation, and backup power. Athena constantly makes economic tradeoffs when determining how much energy to deploy or store up for later. -
36
GRAX
GRAX
GRAX is the leader in Salesforce Data Protection throughout its lifecycle, where you can own and control 100% of your Salesforce data. GRAX is disrupting the Salesforce data protection industry by combining Salesforce data backup, recovery, and archiving with scalable data operations (Data Management - DataOps) for a true Salesforce Data Lifecycle Management solution. The same tool that lets you backup, archive, and recover your Salesforce historical data is also the best way to capture, ingest, and pipe those historical versions of your data into your DataOps ecosystem. Reuse and consume your CRM data in industry tools, such as AWS SageMaker, Power BI by Azure, AWS Redshift, Tableau, AWS QuickSight, Snowflake, Google BigQuery, and many others.Starting Price: $9,000/mo per Salesforce Org -
37
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. -
38
Firstlogic
Firstlogic
Validate and verify your address data by checking them against official Postal Authority databases. Increase delivery rates, minimize returned mail and realize postal discounts. Connect address datasources to our enterprise-class cleansing transforms. Then, you'll be ready to validate and verify your address data. Increase delivery rates, minimize returned mail and realize postal discounts. Identify individual data elements within your address data and break them out into their component parts. Eliminate common spelling mistakes & format address data to comply with industry standards & improve mail delivery. Confirm an address’s existence against the official USPS address database. Check whether the address is residential or business and if the address is deliverable using USPS Delivery Point Validation (DPV). Merge validated data back to multiple disparate data sources or produce customized output files to use in your organization's workflow. -
39
Neum AI
Neum AI
No one wants their AI to respond with out-of-date information to a customer. Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud. -
40
DataTerrain
DataTerrain
Automation delivers business intelligence reporting upgrades at your fingertips! DataTerrain can help you build Oracle Transactional Business Intelligence (OTBI) reports with extensive usage of HCM extracts. Our expertise in HCM analytics and reports with embedded security features is proven with industry-leading customers in the US and Canada. We can demonstrate with references and pre-built reports and dashboards. Oracle’s fully integrated talent acquisition cloud-based solution (Taleo) includes recruitment marketing and employee referrals to source talent, provide end-to-end recruiting automation, and streamline employee onboarding. We have proven our expertise in building reports and dashboards for over 10 years, with more than 200 customers worldwide. DataTerrain specializes in Snowflake, Tableau Analytics/reporting, Amazon’s Quicksight analytics/reporting and Jasper studio reporting, solutions for Big Data. -
41
Graphweaver
Exogee
Turn multiple data sources into a single GraphQL API. Features: 📝 Code-first GraphQL API: Save time and code efficiently with our code-first approach. 🚀 Built for Node in Typescript: The power of Typescript combined with the flexibility of Node.js. 🔗 Connect to Multiple Datasources: Seamlessly integrate Postgres, MySql, Sqlite, REST, and more. 🎯 Instant GraphQL API: Get your API up and running quickly with automatic queries and mutations. 🔄 One Command Import: Easily import an existing database with a simple command-line tool.Starting Price: Free -
42
EagleEye
Cloudnosys
EagleEye is a real-time cloud threat-detection and monitoring solution that continuously oversees an organization’s cloud infrastructure, identifies suspicious events, and triggers automated response workflows. It uses serverless technologies (for example, within AWS Lambda, Amazon EventBridge, and Amazon SQS) to capture and process cloud-trail logs from services such as S3 or IAM, detect policy deviations or unauthorized changes, and then alert teams or invoke corrective actions. The platform works together with Cloudnosys’s broader cloud-security and compliance capabilities to provide visibility, governance, and remedial automation across cloud accounts. EagleEye supports continuous monitoring of cloud resource configurations, identity & access events, network and storage changes, and generates alerts that can be integrated with upstream tools such as Slack, email, or SOAR workflows for rapid incident response. -
43
Apache Impala
Apache
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.Starting Price: Free -
44
eSearch Pro
ElectronArt Design Ltd
TARILIO combines advanced information retrieval with an in integrated AI-Assistant to enhance productivity for professionals who need to quickly find information from a wide range of data sources. Now FREE and open source! Unique features include: AI-Assistant can use multiple local or remote LLMs. Local Server for LLMs on a network. Hugging Face downloads. User translatable with free Language File Editor. Switch languages immediately. Scrollable indexed word list. View source code with hit highlighting, syntax highlighting & line numbers. View images that contain geolocation metadata (GPS) on built-in map. MCP Client built in. Other power user features: Search with a 'list of words' for eDiscovery. Multilingual stemming, user-defined & pre-defined synonyms. Numeric pattern matching with regex. Limit indexing by file types. Plugins to connect to external data-sources. TARILIO Pro is a version of TARILIO with additional closed source code for commercial use.Starting Price: $0 -
45
Amazon Athena
Amazon
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning. -
46
Databeyz
Databeyz
Insights into the world of data as and how touch points are refreshed, real value to keep a tab on your market. We specialize in open source technology to build custom tools aimed at prospecting datasources that help drive marketing efforts. Our tools gather information from public web sources like websites, forums, social media channels and variety of other sources. We then prepare the data into clean contact and company records, available in CSV formats that can be easily imported into any system of your choice. Our strength lies in the unique know how in the systematic collection & enrichment of large volumes of dataset from the web. Explore our B2B database spanning across the globe, to find your next line of customers. Adding all the required touch points to the data, helping you being more informed in making decisions. -
47
Dynamo BIM
Dynamo BIM
An introductory resource for beginners and a long-term reference. See this structured explanation of everything from data management to computational geometry and working with Revit. A community-powered, comprehensive reference to the functionality and utility of every node in Dynamo. Use the Dynamo Dictionary as a quick reference or an in-depth guide to extend your skills and empower your graphs. Dynamo hosts a thriving ecosystem for development. This page takes you down the rabbit hole of all of the tools available for customizing your Dynamo experience. From top-to-bottom, we’ll start with the ‘out-of-the-box’ options and go deeper as we progress down the page. The Introductory tutorial videos reflect the visually refreshed Dynamo from version 2.13 onwards, including new graph authoring features. The advanced tutorial videos are legacy content that has been created for the Dynamo 1.X environment.Starting Price: Free -
48
Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.
-
49
InfoCaptor
Rudrasoft
Examine data from different angles and get the “Aha moment!” It is like watching a grainy picture of your business come into focus. Your business data is stored in many different databases and places and you haven’t found a way yet to combine information and visualize it? InfoCaptor connects to all datasources such as MySQL, PostgreSQL, Oracle, SQL server, SQLite3 and other JDBC /ODBC compliant databases. InfoCaptor provides the freedom to let you explore your data sets and provides a beautiful visual analysis tool. With drag and drop you can visualize trends and patterns, publish analysis and build professional dashboards. You can download and install InfoCaptor on variety of platforms. Just requires Apache+ PHP + MySQL stack. Packaged Business Intelligence and Analytics for WooCommerce. This is our first packaged solution that provides WooCommerce Reports as a wordpress plugin. This WooCommerce Reporting Plugin is a one click install and it gathers all the important metrics.Starting Price: $29 per month -
50
Apache Drill
The Apache Software Foundation
Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage
