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DBMS > FeatureBase vs. JanusGraph vs. Lovefield vs. TimescaleDB vs. Yaacomo

System Properties Comparison FeatureBase vs. JanusGraph vs. Lovefield vs. TimescaleDB vs. Yaacomo

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable relational database for web apps written in pure JavaScriptA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSGraph DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#304  Overall
#138  Relational DBMS
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.featurebase.comjanusgraph.orggoogle.github.io/­lovefieldwww.timescale.comyaacomo.com
Technical documentationdocs.featurebase.comdocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.timescale.com
DeveloperMolecula and Pilosa Open Source ContributorsLinux Foundation; originally developed as Titan by AureliusGoogleTimescaleQ2WEB GmbH
Initial release20172017201420172009
Current release2022, May 20220.6.3, February 20232.1.12, February 20172.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaScriptC
Server operating systemsLinux
macOS
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Android
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesnoSQL-like query language infovia JavaScript builder patternyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesJava
Python
Clojure
Java
Python
JavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnoyesUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneyes, across time and space (hash partitioning) attributeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FeatureBaseJanusGraph infosuccessor of TitanLovefieldTimescaleDBYaacomo
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