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The leader in collaborative data cataloging, it empowers analysts & information stewards to search, query & collaborate for fast and accurate insights. | Save 15+ hours weekly with SocialCal. Schedule and manage social media posts across Twitter/X, Instagram, Facebook, LinkedIn, YouTube, TikTok, Threads, Bluesky, and Pinterest from one powerful dashboard. |
Data Catalog; Automatically indexes your data by source; Automatically gathers knowledge about your data | AI Caption Generator – GPT-5.2 creates platform-optimized captions with tone selection, Platform-Specific Optimization – AI tailors suggestions to each platform's character limits and best practices, 10 Platform Support – Facebook, Instagram, Threads, TikTok, YouTube, LinkedIn, Pinterest, Bluesky, X, Telegram, Visual Drag-and-Drop Calendar – Schedule and reschedule posts with an intuitive calendar interface, Bulk Content Upload – Import posts via CSV and schedule with automatic time spacing, Rich Text Editor – WYSIWYG editor with formatting, links, hashtags, and real-time character counting, Unified Analytics Dashboard – Track engagement, reach, and impressions across all platforms in one view, Platform Performance Comparison – See which platforms drive the best results, Exportable Reports – Download analytics as CSV for reporting and analysis, Draft Management – Save work-in-progress posts and continue later, Media Library – Centralized storage for all your images and videos |
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Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.

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.

Buffer helps you manage multiple social media accounts at once. Quickly schedule content from anywhere on the web, collaborate with team members, and analyze rich statistics on how your posts perform.

Distributed SQL Query Engine for Big Data

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.

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.