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DBMS > JanusGraph vs. Rockset vs. SingleStore vs. VelocityDB vs. Vertica

System Properties Comparison JanusGraph vs. Rockset vs. SingleStore vs. VelocityDB vs. Vertica

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonRockset  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A scalable, reliable search and analytics service in the cloud, built on RocksDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelGraph DBMSDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
Relational DBMS infoColumn oriented
Secondary database modelsRelational DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitejanusgraph.orgrockset.comwww.singlestore.comvelocitydb.comwww.vertica.com
Technical documentationdocs.janusgraph.orgdocs.rockset.comdocs.singlestore.comvelocitydb.com/­UserGuidevertica.com/­documentation
DeveloperLinux Foundation; originally developed as Titan by AureliusRocksetSingleStore Inc.VelocityDB IncOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20172019201320112005
Current release0.6.3, February 20238.5, January 20247.x12.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree developer edition availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++C++, GoC#C++
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux info64 bit version requiredAny that supports .NETLinux
Data schemeyesschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesdynamic typingyesyesyes
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 infoingestion from XML files supportednonono
Secondary indexesyesall fields are automatically indexedyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyes infobut no triggers and foreign keysnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP RESTCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.NetADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesClojure
Java
Python
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
.NetC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyesnoyes, PostgreSQL PL/pgSQL, with minor differences
TriggersyesnonoCallbacks are triggered when data changesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Automatic shardingSharding infohash partitioningShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono infocan define user-defined aggregate functions for map-reduce-style calculationsnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and organizations can be defined via Rockset consoleFine grained access control via users, groups and rolesBased on Windows Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
JanusGraph infosuccessor of TitanRocksetSingleStore infoformer name was MemSQLVelocityDBVertica infoOpenText™ Vertica™
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metricsCustomers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
JanusGraph infosuccessor of TitanRocksetSingleStore infoformer name was MemSQLVelocityDBVertica infoOpenText™ Vertica™
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