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DBMS > Datomic vs. GBase vs. Hazelcast vs. PouchDB vs. Sqrrl

System Properties Comparison Datomic vs. GBase vs. Hazelcast vs. PouchDB vs. Sqrrl

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonPouchDB  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 durabilityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridJavaScript DBMS with an API inspired by CouchDBAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.datomic.comwww.gbase.cnhazelcast.compouchdb.comsqrrl.com
Technical documentationdocs.datomic.comhazelcast.org/­imdg/­docspouchdb.com/­guides
DeveloperCognitectGeneral Data Technology Co., Ltd.HazelcastApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release20122004200820122012
Current release1.0.6735, June 2023GBase 8a, GBase 8s, GBase 8c5.3.6, November 20237.1.1, June 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, Java, PythonJavaJavaScriptJava
Server operating systemsAll OS with a Java VMLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLnoStandard with numerous extensionsSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesClojure
Java
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyes infoEvent Listeners, Executor ServicesView functions in JavaScriptno
TriggersBy using transaction functionsyesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesyes infoReplicated MapMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entity
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 infoby using IndexedDB, WebSQL or LevelDB as backendyes
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 developmentyesyes
User concepts infoAccess controlnoyesRole-based access controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DatomicGBaseHazelcastPouchDBSqrrl
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