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DBMS > GBase vs. HBase vs. PlanetScale vs. RavenDB

System Properties Comparison GBase vs. HBase vs. PlanetScale vs. RavenDB

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHBase  Xexclude from comparisonPlanetScale  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionWidely 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 BigTableScalable, distributed, serverless MySQL database platform built on top of VitessOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.gbase.cnhbase.apache.orgplanetscale.comravendb.net
Technical documentationhbase.apache.org/­book.htmlplanetscale.com/­docsravendb.net/­docs
DeveloperGeneral Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by PowersetPlanetScaleHibernating Rhinos
Initial release2004200820202010
Current releaseGBase 8a, GBase 8s, GBase 8c2.3.4, January 20215.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaGoC#
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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.yesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLStandard with numerous extensionsnoyes infowith proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#C
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javayes infoproprietary syntaxyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID at shard levelACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
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 with fine-grained authorization concept infono user groups or rolesAuthorization levels configured per client per database

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More resources
GBaseHBasePlanetScaleRavenDB
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