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DBMS > Heroic vs. SingleStore vs. SpaceTime vs. Tkrzw vs. TypeDB

System Properties Comparison Heroic vs. SingleStore vs. SpaceTime vs. Tkrzw vs. TypeDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpaceTime  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMySQL 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 typeSpaceTime is a spatio-temporal DBMS with a focus on performance.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.singlestore.comwww.mireo.com/­spacetimedbmx.net/­tkrzwtypedb.com
Technical documentationspotify.github.io/­heroicdocs.singlestore.comtypedb.com/­docs
DeveloperSpotifySingleStore Inc.MireoMikio HirabayashiVaticle
Initial release20142013202020202016
Current release8.5, January 20240.9.3, August 20202.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
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.
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 languageJavaC++, GoC++C++Java
Server operating systemsLinux info64 bit version requiredLinuxLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesyes infovia Elasticsearchyesnoyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysA subset of ANSI SQL is implementednono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Python
C++
Java
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningFixed-grid hypercubesnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodesReal-time block device replication (DRBD)noneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing specific database classesno
User concepts infoAccess controlFine grained access control via users, groups and rolesyesnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
HeroicSingleStore infoformer name was MemSQLSpaceTimeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTypeDB infoformerly named Grakn
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
HeroicSingleStore infoformer name was MemSQLSpaceTimeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTypeDB infoformerly named Grakn
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