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DBMS > Citus vs. Drizzle vs. HugeGraph vs. HyperSQL vs. Sqrrl

System Properties Comparison Citus vs. Drizzle vs. HugeGraph vs. HyperSQL vs. Sqrrl

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSqrrl  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.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Websitewww.citusdata.comgithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgsqrrl.com
Technical documentationdocs.citusdata.comhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperDrizzle project, originally started by Brian AkerBaiduAmazon infooriginally Sqrrl Data, Inc.
Initial release20102008201820012012
Current release8.1, December 20187.2.4, September 20120.92.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaJavaJava
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeyesyesyesyesschema-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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infowith proprietary extensionsnoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
PHP
Groovy
Java
Python
All languages supporting JDBC/ODBC
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noasynchronous Gremlin script jobsJava, SQLno
Triggersyesno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBasenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
CitusDrizzleHugeGraphHyperSQL infoalso known as HSQLDBSqrrl
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