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DBMS > Datomic vs. Drizzle vs. GigaSpaces vs. Prometheus

System Properties Comparison Datomic vs. Drizzle vs. GigaSpaces vs. Prometheus

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPrometheus  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.datomic.comwww.gigaspaces.comprometheus.io
Technical documentationdocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmlprometheus.io/­docs
DeveloperCognitectDrizzle project, originally started by Brian AkerGigaspaces Technologies
Initial release2012200820002015
Current release1.0.6735, June 20237.2.4, September 201215.5, September 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen 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 languageJava, ClojureC++Java, C++, .NetGo
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nono infoXML can be used for describing objects metadatano infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-99 for query and DML statementsno
APIs and other access methodsRESTful HTTP APIJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesno
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.yes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlno

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DatomicDrizzleGigaSpacesPrometheus
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