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It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. | ReubenAI is an AI-native intelligence platform built for modern venture capital and private equity funds. It brings the entire investment lifecycle into one unified system, including deal sourcing, deal flow automation, AI-driven due diligence, IC memo automation, portfolio monitoring and fund governance. Funds use ReubenAI as their operating system to replace fragmented tools and eliminate manual workflows. |
Complete T-SQL based analytics – Generally Available; Deeply integrated Apache Spark; Hybrid data integration; Unified user experience | AI-powered deal analysis and scoring, centralised workflow and pipeline, fund strategy integration, integrated research engine, unified 3-sided platform for investors, founders and portfolio companies, governance and institutional memory, predictive insight and deal discovery, AI-powered market and company research, pre-qualified deal sourcing from your network, automated due diligence, investment committee workflow management, portfolio performance tracking, network and relationship management, multi-fund and multi-strategy management, advanced portfolio analytics, document parsing and research automation, unlimited team members, CRM and data provider integrations, IC memo generation, LP reporting and investment analytics, portfolio company communication tools, API integrations with Salesforce, HubSpot and Affinity, white-label solution options, enterprise security, compatibility with HubSpot, Salesforce, Airtable, Pipedrive and Affinity, research aggregation from Crunchbase, LinkedIn, Preqin and Reuters, AI deal sourcing tool, deal flow automation software, AI due diligence platform, IC memo automation, AI IC memo generator, fund governance platform, investor reporting automation, institutional fund memory, VC portfolio reporting tool, private markets deal sourcing, portfolio monitoring AI, research, portfolio intelligence, diligence, due diligence, governance, institutional memory, portfolio companies, deals, investment portfolio, VC reporting, due diligence meaning, what is due diligence, due diligence checklist, financial due diligence, enhanced due diligence, investment research, investment research tools, global investment research, customer relationship management software, customer relationship management system, fund management tools, fund administration, fund administration software, fund administration platform, venture capital fund administration, VC deal sourcing platform, PE deal sourcing software, AI deal pipeline management, venture sourcing automation, investment deal scoring software, AI investment screening, automated due diligence software, investment due diligence checklist AI, portfolio company due diligence tool, institutional diligence workflow, AI investment committee memo generator, investment committee software, deal room automation, fund management workflow software, GP workflow automation, VC reporting automation, private fund operations software, fund oversight tools, investment governance software, AI portfolio monitoring, portfolio company dashboard software, private markets portfolio analytics, venture portfolio reporting, portfolio performance insights, LP reporting software, investor communications automation, private capital CRM alternative, GP and LP portal, digital data room automation, fund memory system, institutional knowledge capture software, deal memory platform, investment knowledge base automation, fund decision tracking software, governance audit trail software, investment research repository, VC founder portal, portfolio company portal, investor–founder collaboration tools, deal collaboration platform, private markets workspace, AI platforms for venture capital deal flow management 2025 |
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It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Distributed SQL Query Engine for Big Data

The Sales Cloud puts everything you need at your fingertips—available anywhere. From Social accounts and contacts to Mobile, Chatter, and Analytics, collaboration across your global organization and getting deals done faster is not only possible, it's easy.

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

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.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.