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DBMS > Datomic vs. Drizzle vs. Sqrrl vs. StarRocks

System Properties Comparison Datomic vs. Drizzle vs. Sqrrl vs. StarRocks

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonSqrrl  Xexclude from comparisonStarRocks  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.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 durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Adaptable, secure NoSQL built on Apache AccumuloAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.95
Rank#193  Overall
#89  Relational DBMS
Websitewww.datomic.comsqrrl.comwww.starrocks.io
Technical documentationdocs.datomic.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperCognitectDrizzle project, originally started by Brian AkerAmazon infooriginally Sqrrl Data, Inc.The Linux Foundation infosince Feb 2023
Initial release2012200820122020
Current release1.0.7180, July 20247.2.4, September 20123.3, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++JavaC++, Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
LinuxLinux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes
APIs and other access methodsRESTful HTTP APIJDBCAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
MySQL protocol
Supported programming languagesClojure
Java
C
C++
Java
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonouser defined functions
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infomaking use of Hadoophorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entityno
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 developmentno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role based access control and fine grained access rights

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DatomicDrizzleSqrrlStarRocks
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