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DBMS > AnzoGraph DB vs. GreptimeDB vs. Kinetica vs. Lovefield

System Properties Comparison AnzoGraph DB vs. GreptimeDB vs. Kinetica vs. Lovefield

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websitecambridgesemantics.com/­anzographgreptime.comwww.kinetica.comgoogle.github.io/­lovefield
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.greptime.comdocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCambridge SemanticsGreptime Inc.KineticaGoogle
Initial release2018202220122014
Current release2.3, January 20217.1, August 20212.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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 languageRustC, C++JavaScript
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeSchema-free and OWL/RDFS-schema supportschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesPythonuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.yesyes infoGPU vRAM or System RAMyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesSimple rights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
AnzoGraph DBGreptimeDBKineticaLovefield
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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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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More resources
AnzoGraph DBGreptimeDBKineticaLovefield
Recent citations in the news

AnzoGraph: A graph database for deep analytics
15 April 2019, InfoWorld

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23 January 2020, Solutions Review

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8 February 2019, Towards Data Science

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18 March 2024, SiliconANGLE News

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks & Files

Kinetica Taps Dell for Hardware
12 June 2018, Finovate

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