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DBMS > EJDB vs. Greenplum vs. GridDB vs. Infobright vs. SurrealDB

System Properties Comparison EJDB vs. Greenplum vs. GridDB vs. Infobright vs. SurrealDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGreenplum  Xexclude from comparisonGridDB  Xexclude from comparisonInfobright  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big DataHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitegithub.com/­Softmotions/­ejdbgreenplum.orggriddb.netignitetech.com/­softwarelibrary/­infobrightdbsurrealdb.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.greenplum.orgdocs.griddb.netsurrealdb.com/­docs
DeveloperSoftmotionsPivotal Software Inc.Toshiba CorporationIgnite Technologies Inc.; formerly InfoBright Inc.SurrealDB Ltd
Initial release20122005201320052022
Current release7.0.0, September 20235.1, August 2022v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++CRust
Server operating systemsserver-lessLinuxLinuxLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.yes infosince Version 4.2nono
Secondary indexesnoyesyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)yesSQL-like query language
APIs and other access methodsin-process shared libraryJDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per databasefine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesyes, based on authentication and database rules

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More resources
EJDBGreenplumGridDBInfobrightSurrealDB
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