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DBMS > Heroic vs. Ingres vs. SpatiaLite vs. TDSQL for MySQL vs. TypeDB

System Properties Comparison Heroic vs. Ingres vs. SpatiaLite vs. TDSQL for MySQL vs. TypeDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIngres  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWell established RDBMSSpatial extension of SQLiteA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSRelational DBMSGraph 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 modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.actian.com/­databases/­ingreswww.gaia-gis.it/­fossil/­libspatialite/­indexwww.tencentcloud.com/­products/­dcdbtypedb.com
Technical documentationspotify.github.io/­heroicdocs.actian.com/­ingreswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.tencentcloud.com/­document/­product/­1042typedb.com/­docs
DeveloperSpotifyActian CorporationAlessandro FurieriTencentVaticle
Initial release20141974 infooriginally developed at University Berkely in early 1970s200820132016
Current release11.2, May 20225.0.0, August 20202.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
server-lesshostedLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyes infovia Elasticsearchyesyesyesyes
SQL infoSupport of SQLnoyesyesyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C#
C++
Java
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesnoyesno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneAutomatic shardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres ReplicatornoneMulti-source replication
Source-replica replication
Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.nonoyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptyes infoat REST API level; other APIs in progress
More information provided by the system vendor
HeroicIngresSpatiaLiteTDSQL for MySQLTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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HeroicIngresSpatiaLiteTDSQL for MySQLTypeDB infoformerly named Grakn
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