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DBMS > BoltDB vs. Drizzle vs. Kinetica vs. OmniSci vs. TiDB

System Properties Comparison BoltDB vs. Drizzle vs. Kinetica vs. OmniSci vs. TiDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTiDB  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.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#193  Overall
#32  Key-value stores
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Score1.47
Rank#126  Overall
#65  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.kinetica.comwww.omnisci.compingcap.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestpingcap.com/­docs
DeveloperDrizzle project, originally started by Brian AkerKineticaMapD Technologies, Inc.PingCAP, Inc.
Initial release20132008201220162016
Current release7.2.4, September 20126.0V43.0.0, June 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
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++C, C++C++ and CUDAGo, Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxLinuxLinux
Data schemeschema-freeyesyesyesyes
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.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesGoC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoRound robinhorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoACID
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.noyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
BoltDBDrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TiDB
Specific characteristicsTiDB is an open source distributed scalable hybrid transactional and analytical processing...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersBank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsInfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

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Porting TiDB to ARM64 for Greater Flexibility
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Migrating the TiKV Rust Client from Futures 0.1 to 0.3
8 August 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBDrizzleKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TiDB
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