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DBMS > Firebolt vs. GBase vs. HBase vs. RisingWave

System Properties Comparison Firebolt vs. GBase vs. HBase vs. RisingWave

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonGBase  Xexclude from comparisonHBase  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Wide-column store based on Apache Hadoop and on concepts of BigTableA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.firebolt.iowww.gbase.cnhbase.apache.orgwww.risingwave.com/­database
Technical documentationdocs.firebolt.iohbase.apache.org/­book.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperFirebolt Analytics Inc.General Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by PowersetRisingWave Labs
Initial release2020200420082022
Current releaseGBase 8a, GBase 8s, GBase 8c2.3.4, January 20211.2, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaRust
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROStandard SQL-types and JSON
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesStandard with numerous extensionsnoyes
APIs and other access methods.Net
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
JavaScript (Node.js)
Python
C#C
C#
C++
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infoCoprocessors in JavaUDFs in Python or Java
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and Roles

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More resources
FireboltGBaseHBaseRisingWave
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