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DBMS > BoltDB vs. Heroic vs. Kinetica vs. SingleStore

System Properties Comparison BoltDB vs. Heroic vs. Kinetica vs. SingleStore

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#224  Overall
#32  Key-value stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitegithub.com/­boltdb/­boltgithub.com/­spotify/­heroicwww.kinetica.comwww.singlestore.com
Technical documentationspotify.github.io/­heroicdocs.kinetica.comdocs.singlestore.com
DeveloperSpotifyKineticaSingleStore Inc.
Initial release2013201420122013
Current release7.1, August 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageGoJavaC, C++C++, Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux info64 bit version required
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infobut no triggers and foreign keys
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelFine grained access control via users, groups and roles
More information provided by the system vendor
BoltDBHeroicKineticaSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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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
BoltDBHeroicKineticaSingleStore infoformer name was MemSQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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