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DBMS > Datomic vs. DolphinDB vs. Geode vs. JaguarDB vs. Sqrrl

System Properties Comparison Datomic vs. DolphinDB vs. Geode vs. JaguarDB vs. Sqrrl

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeode  Xexclude from comparisonJaguarDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesPerformant, highly scalable DBMS for AI and IoT applicationsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Websitewww.datomic.comwww.dolphindb.comgeode.apache.orgwww.jaguardb.comsqrrl.com
Technical documentationdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmlgeode.apache.org/­docswww.jaguardb.com/­support.html
DeveloperCognitectDolphinDB, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.DataJaguar, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20122018200220152012
Current release1.0.7075, December 2023v2.00.4, January 20221.1, February 20173.3 July 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++JavaC++ infothe server part. Clients available in other languagesJava
Server operating systemsAll OS with a Java VMLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (OQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesuser defined functionsnono
TriggersBy using transaction functionsnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesMulti-source replicationMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes, on a single nodenoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesyesno
User concepts infoAccess controlnoAdministrators, Users, GroupsAccess rights per client and object definablerights management via user accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DatomicDolphinDBGeodeJaguarDBSqrrl
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