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DBMS > Datomic vs. Fujitsu Enterprise Postgres vs. InfluxDB vs. Lovefield vs. Rockset

System Properties Comparison Datomic vs. Fujitsu Enterprise Postgres vs. InfluxDB vs. Lovefield vs. Rockset

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.DBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.datomic.comwww.postgresql.fastware.comwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldrockset.com
Technical documentationdocs.datomic.comwww.postgresql.fastware.com/­product-manualsdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.rockset.com
DeveloperCognitectPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleRockset
Initial release2012201320142019
Current release1.0.6735, June 2023Fujitsu Enterprise Postgres 14, January 20222.7.6, April 20242.1.12, February 2017
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCGoJavaScriptC++
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language infovia JavaScript builder patternRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
HTTP REST
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnonono
TriggersBy using transaction functionsyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peerspartitioning by range, list and by hashSharding infoin enterprise version onlynoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor infoin enterprise version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoDepending on used storage engineyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accountsnoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DatomicFujitsu Enterprise PostgresInfluxDBLovefieldRockset
Specific characteristics100% compatible with community PostgreSQL
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsCore based licensing
» more
Open source core with closed source clustering available either on-premise or on...
» more
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More resources
DatomicFujitsu Enterprise PostgresInfluxDBLovefieldRockset
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