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DBMS > BigObject vs. EJDB vs. GridDB vs. SingleStore

System Properties Comparison BigObject vs. EJDB vs. GridDB vs. SingleStore

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEJDB  Xexclude from comparisonGridDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Scalable in-memory time series database optimized for IoT and Big DataMySQL 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 modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitebigobject.iogithub.com/­Softmotions/­ejdbgriddb.netwww.singlestore.com
Technical documentationdocs.bigobject.iogithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.griddb.netdocs.singlestore.com
DeveloperBigObject, Inc.SoftmotionsToshiba CorporationSingleStore Inc.
Initial release2015201220132013
Current release5.1, August 20228.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPLv2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-lessLinuxLinux info64 bit version required
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes infonumerical, string, blob, geometry, boolean, timestampyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL92, SQL-like TQL (Toshiba Query Language)yes infobut no triggers and foreign keys
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
in-process shared libraryJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanonoyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-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 methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoRead/Write Lockingyesyes, 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.yesyesyes
User concepts infoAccess controlnonoAccess rights for users can be defined per databaseFine grained access control via users, groups and roles

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More resources
BigObjectEJDBGridDBSingleStore infoformer name was MemSQL
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