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DBMS > Drizzle vs. GridDB vs. LevelDB vs. RavenDB vs. SWC-DB

System Properties Comparison Drizzle vs. GridDB vs. LevelDB vs. RavenDB vs. SWC-DB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGridDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Scalable in-memory time series database optimized for IoT and Big DataEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSTime Series DBMSKey-value storeDocument storeWide column store
Secondary database modelsKey-value store
Relational DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitegriddb.netgithub.com/­google/­leveldbravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.griddb.netgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docs
DeveloperDrizzle project, originally started by Brian AkerToshiba CorporationGoogleHibernating RhinosAlex Kashirin
Initial release20082013201120102020
Current release7.2.4, September 20125.1, August 20221.23, February 20215.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
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 languageC++C++C++C#C++
Server operating systemsFreeBSD
Linux
OS X
LinuxIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampnono
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query language (RQL)SQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresnononoyesno
Triggersno infohooks for callbacks inside the server can be used.yesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databasenoAuthorization levels configured per client per database
More information provided by the system vendor
DrizzleGridDBLevelDBRavenDBSWC-DB infoSuper Wide Column Database
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
DrizzleGridDBLevelDBRavenDBSWC-DB infoSuper Wide Column Database
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