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DBMS > LevelDB vs. TerminusDB vs. TimescaleDB vs. ToroDB vs. TypeDB

System Properties Comparison LevelDB vs. TerminusDB vs. TimescaleDB vs. ToroDB vs. TypeDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQLTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelKey-value storeGraph DBMSTime Series DBMSDocument 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
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitegithub.com/­google/­leveldbterminusdb.comwww.timescale.comgithub.com/­torodb/­servertypedb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdterminusdb.github.io/­terminusdb/­#docs.timescale.comtypedb.com/­docs
DeveloperGoogleDataChemist Ltd.Timescale8KdataVaticle
Initial release20112018201720162016
Current release1.23, February 202111.0.0, January 20232.15.0, May 20242.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoGPL V3Open Source infoApache 2.0Open Source infoAGPL-V3Open 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.
Implementation languageC++Prolog, RustCJavaJava
Server operating systemsIllumos
Linux
OS X
Windows
LinuxLinux
OS X
Windows
All OS with a Java 7 VMLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_idyes
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.nonoyesnono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (WOQL)yes infofull PostgreSQL SQL syntaxno
APIs and other access methodsOWL
RESTful HTTP API
WOQL (Web Object Query Language)
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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Python
.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 proceduresnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneGraph Partitioningyes, across time and space (hash partitioning) attributesShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneJournaling StreamsSource-replica replication with hot standby and reads on replicas infoSource-replica replicationMulti-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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoin-memory journalingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and rolesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
LevelDBTerminusDB infoformer name was DataChemistTimescaleDBToroDBTypeDB 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...
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LevelDBTerminusDB infoformer name was DataChemistTimescaleDBToroDBTypeDB infoformerly named Grakn
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