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DBMS > Citus vs. DolphinDB vs. HugeGraph vs. Sqrrl vs. Transbase

System Properties Comparison Citus vs. DolphinDB vs. HugeGraph vs. Sqrrl vs. Transbase

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDolphinDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonSqrrl  Xexclude from comparisonTransbase  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.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDolphinDB 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.A fast-speed and highly-scalable Graph DBMSAdaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.citusdata.comwww.dolphindb.comgithub.com/­hugegraph
hugegraph.apache.org
sqrrl.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.citusdata.comdocs.dolphindb.cn/­en/­help200/­index.htmlhugegraph.apache.org/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperDolphinDB, IncBaiduAmazon infooriginally Sqrrl Data, Inc.Transaction Software GmbH
Initial release20102018201820121987
Current release8.1, December 2018v2.00.4, January 20220.9Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree community version availableOpen Source infoApache Version 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaJavaC and C++
Server operating systemsLinuxLinux
Windows
Linux
macOS
Unix
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesschema-freeyes
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 functionalitynonono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languagenonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Groovy
Java
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesasynchronous Gremlin script jobsnoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDAtomic updates per row, document, or graph entityyes
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.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsUsers, roles and permissionsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
CitusDolphinDBHugeGraphSqrrlTransbase
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