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DBMS > HBase vs. RisingWave vs. SingleStore

System Properties Comparison HBase vs. RisingWave vs. SingleStore

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonRisingWave  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA distributed RDBMS for stream processing, wire-compatible with PostgreSQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitehbase.apache.orgwww.risingwave.com/­databasewww.singlestore.com
Technical documentationhbase.apache.org/­book.htmldocs.risingwave.com/­docs/­current/­introdocs.singlestore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetRisingWave LabsSingleStore Inc.
Initial release200820222013
Current release2.3.4, January 20211.2, September 20238.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaRustC++, Go
Server operating systemsLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Linux info64 bit version required
Data schemeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROStandard SQL-types and JSONyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyes infobut no triggers and foreign keys
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
PostgreSQL wire protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaUDFs in Python or Javayes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and RolesFine grained access control via users, groups and roles
More information provided by the system vendor
HBaseRisingWaveSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HBaseRisingWaveSingleStore infoformer name was MemSQL
DB-Engines blog posts

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

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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