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DBMS > DolphinDB vs. Graph Engine vs. JanusGraph vs. Sqrrl vs. VictoriaMetrics

System Properties Comparison DolphinDB vs. Graph Engine vs. JanusGraph vs. Sqrrl vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSqrrl  Xexclude from comparisonVictoriaMetrics  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.
DescriptionDolphinDB 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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Adaptable, secure NoSQL built on Apache AccumuloA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Graph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.dolphindb.comwww.graphengine.iojanusgraph.orgsqrrl.comvictoriametrics.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.janusgraph.orgdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDolphinDB, IncMicrosoftLinux Foundation; originally developed as Titan by AureliusAmazon infooriginally Sqrrl Data, Inc.VictoriaMetrics
Initial release20182010201720122018
Current releasev2.00.4, January 20220.6.3, February 2023v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CJavaJavaGo
Server operating systemsLinux
Windows
.NETLinux
OS X
Unix
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesschema-free
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
Clojure
Java
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infomaking use of HadoopSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAdministrators, Users, GroupsUser authentification and security via Rexster Graph ServerCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DolphinDBGraph Engine infoformer name: TrinityJanusGraph infosuccessor of TitanSqrrlVictoriaMetrics
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