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DBMS > ObjectBox vs. Teradata vs. TimescaleDB vs. TypeDB

System Properties Comparison ObjectBox vs. Teradata vs. TimescaleDB vs. TypeDB

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelObject oriented DBMSRelational DBMSTime Series 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 modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteobjectbox.iowww.teradata.comwww.timescale.comtypedb.com
Technical documentationdocs.objectbox.iodocs.teradata.comdocs.timescale.comtypedb.com/­docs
DeveloperObjectBox LimitedTeradataTimescaleVaticle
Initial release2017198420172016
Current releaseTeradata Vantage 1.0 MU2, January 20192.13.0, November 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses 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.
Implementation languageC and C++CJava
Server operating systemsAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyesyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesyes
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsProprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in paralleluser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoHashingyes, across time and space (hash partitioning) attributesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas infoMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
ObjectBoxTeradataTimescaleDBTypeDB 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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More resources
ObjectBoxTeradataTimescaleDBTypeDB infoformerly named Grakn
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