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DBMS > HugeGraph vs. PlanetScale vs. RethinkDB vs. SingleStore

System Properties Comparison HugeGraph vs. PlanetScale vs. RethinkDB vs. SingleStore

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPlanetScale  Xexclude from comparisonRethinkDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSScalable, distributed, serverless MySQL database platform built on top of VitessDBMS for the Web with a mechanism to push updated query results to applications in realtime.MySQL 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 modelGraph DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
planetscale.comrethinkdb.comwww.singlestore.com
Technical documentationhugegraph.apache.org/­docsplanetscale.com/­docsrethinkdb.com/­docsdocs.singlestore.com
DeveloperBaiduPlanetScaleThe Linux Foundation infosince July 2017SingleStore Inc.
Initial release2018202020092013
Current release0.92.4.1, August 20208.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaGoC++C++, Go
Server operating systemsLinux
macOS
Unix
Docker
Linux
macOS
Linux
OS X
Windows
Linux info64 bit version required
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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 indexesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes infobut no triggers and foreign keys
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
MySQL protocol
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGroovy
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoproprietary syntaxyes
TriggersnoyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding inforange basedSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes infoMVCC basedyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesnoyes
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization concept infono user groups or rolesyes infousers and table-level permissionsFine grained access control via users, groups and roles
More information provided by the system vendor
HugeGraphPlanetScaleRethinkDBSingleStore 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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More resources
HugeGraphPlanetScaleRethinkDBSingleStore infoformer name was MemSQL
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