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DBMS > BoltDB vs. Drizzle vs. GridGain vs. HugeGraph vs. OrientDB

System Properties Comparison BoltDB vs. Drizzle vs. GridGain vs. HugeGraph vs. OrientDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonOrientDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Graph DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitegithub.com/­boltdb/­boltwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
orientdb.org
Technical documentationwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperDrizzle project, originally started by Brian AkerGridGain Systems, Inc.BaiduOrientDB LTD; CallidusCloud; SAP
Initial release20132008200720182010
Current release7.2.4, September 2012GridGain 8.5.10.93.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0Open Source infoApache version 2
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 languageGoC++Java, C++, .NetJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnono
Secondary indexesnoyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLnoSQL-like query language, no joins
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesGoC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsJava, Javascript
Triggersnono infohooks for callbacks inside the server can be used.yes (cache interceptors and events)noHooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)via hugegraph-sparkno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graphyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsUsers, roles and permissionsAccess rights for users and roles; record level security configurable

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More resources
BoltDBDrizzleGridGainHugeGraphOrientDB
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