DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Phoenix vs. Databricks vs. Immudb vs. STSdb vs. Yanza

System Properties Comparison Apache Phoenix vs. Databricks vs. Immudb vs. STSdb vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabricks  Xexclude from comparisonImmudb  Xexclude from comparisonSTSdb  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitephoenix.apache.orgwww.databricks.comgithub.com/­codenotary/­immudb
immudb.io
github.com/­STSSoft/­STSdb4yanza.com
Technical documentationphoenix.apache.orgdocs.databricks.comdocs.immudb.io
DeveloperApache Software FoundationDatabricksCodenotarySTS Soft SCYanza
Initial release20142013202020112015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.2.3, April 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC#
Server operating systemsLinux
Unix
Windows
hostedBSD
Linux
macOS
Solaris
Windows
z/OS
WindowsWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)no
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyeswith Databricks SQLSQL-like syntaxnono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
.NET Client APIHTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Python
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesnonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono
More information provided by the system vendor
Apache PhoenixDatabricksImmudbSTSdbYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache PhoenixDatabricksImmudbSTSdbYanza
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

show all

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

Azure HDInsight Analytics Platform Now Supports Apache Hadoop 3.0
18 April 2019, eWeek

Deep dive into Azure HDInsight 4.0
25 September 2018, Microsoft

provided by Google News

Why Databricks' Tabular Play Has Put Snowflake On The Defensive
10 June 2024, Forbes

Informatica rolls out new integrations for Databricks’ cloud data platform
10 June 2024, SiliconANGLE News

Snowflake, DataBricks and the Fight for Apache Iceberg Tables
10 June 2024, The New Stack

Exclusive | Databricks to Buy Data-Management Startup Tabular in Bid for AI Clients
4 June 2024, The Wall Street Journal

Databricks acquires Tabular to build a common data lakehouse standard
4 June 2024, TechCrunch

provided by Google News

Codenotary brings its immutable database to the cloud
21 June 2023, TechCrunch

Immudb: Open-source database, built on a zero trust model
17 December 2021, Help Net Security

immudb (immutable database) 'tamper-proof' database - Open Source Insider
14 December 2021, ComputerWeekly.com

Codenotary Uses Immutable Database to Verify Software Artifacts
26 October 2021, DevOps.com

Storage news ticker – November 15 – Blocks and Files
15 November 2021, Blocks and Files

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here