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  4. Big Data Tools
  5. Steampipe vs Stratio DataCentric

Steampipe vs Stratio DataCentric

OverviewComparisonAlternatives

Overview

Stratio DataCentric
Stratio DataCentric
Stacks5
Followers5
Votes0
Steampipe
Steampipe
Stacks5
Followers7
Votes0
GitHub Stars7.6K
Forks309

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Detailed Comparison

Stratio DataCentric
Stratio DataCentric
Steampipe
Steampipe

It is a unique product that puts your most valuable asset at the core of your business: YOUR DATA. It serves as the backbone for the Digital Transformation of companies. It brings together the latest, most disruptive technologies into a single product that responds to the needs of today’s market:

The open-source SQL interface to your favorite cloud APIs. Select * from AWS, Azure, GCP, Github, Slack, and more. It exposes APIs and services as a high-performance relational database, giving you the ability to write SQL-based queries and controls to explore, assess and report on dynamic data.

Customer-centricity; Omnichannel strategy, Data intelligence
Painlessly join live cloud configuration data with internal or external data sets to create new insights; The cloud is a live database; Get SQL superpowers in < 60 seconds
Statistics
GitHub Stars
-
GitHub Stars
7.6K
GitHub Forks
-
GitHub Forks
309
Stacks
5
Stacks
5
Followers
5
Followers
7
Votes
0
Votes
0
Integrations
No integrations available
Zendesk
Zendesk
Google Cloud Platform
Google Cloud Platform
Microsoft Azure
Microsoft Azure
GitHub
GitHub
Slack
Slack

What are some alternatives to Stratio DataCentric, Steampipe?

Apache Spark

Apache Spark

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena

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

Apache Flink

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.

lakeFS

lakeFS

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

Druid

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

Apache Kylin

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.

Splunk

Splunk

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

Apache Impala

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Vertica

Vertica

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

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