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DBMS > AllegroGraph vs. Datomic vs. GreptimeDB vs. Lovefield

System Properties Comparison AllegroGraph vs. Datomic vs. GreptimeDB vs. Lovefield

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonGreptimeDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source Time Series DBMS built for increased scalability, high performance and efficiencyEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websiteallegrograph.comwww.datomic.comgreptime.comgoogle.github.io/­lovefield
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comdocs.greptime.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperFranz Inc.CognitectGreptime Inc.Google
Initial release2004201220222014
Current release8.0, December 20231.0.6735, June 20232.1.12, February 2017
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureRustJavaScript
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyes infoRDF schemasyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infobulk load of XML files possiblenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIgRPC
HTTP API
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C++
Erlang
Go
Java
JavaScript
JavaScript
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction FunctionsPythonno
TriggersyesBy using transaction functionsUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infousing MemoryDB
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoSimple rights management via user accountsno
More information provided by the system vendor
AllegroGraphDatomicGreptimeDBLovefield
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
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