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DBMS > Apache Druid vs. Cubrid vs. FoundationDB vs. GridGain vs. TerminusDB

System Properties Comparison Apache Druid vs. Cubrid vs. FoundationDB vs. GridGain vs. TerminusDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonFoundationDB  Xexclude from comparisonGridGain  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOrdered key-value store. Core features are complimented by layers.GridGain is an in-memory computing platform, built on Apache IgniteScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitedruid.apache.orgcubrid.com (korean)
cubrid.org (english)
github.com/­apple/­foundationdbwww.gridgain.comterminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designcubrid.org/­manualsapple.github.io/­foundationdbwww.gridgain.com/­docs/­index.htmlterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationFoundationDBGridGain Systems, Inc.DataChemist Ltd.
Initial release20122008201320072018
Current release29.0.1, April 202411.0, January 20216.2.28, November 2020GridGain 8.5.111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC++Java, C++, .NetProlog, Rust
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.nonoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyessupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyesyes (replicated cache)Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnoSecurity Hooks for custom implementationsRole-based access control

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More resources
Apache DruidCubridFoundationDBGridGainTerminusDB infoformer name was DataChemist
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