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DBMS > JanusGraph vs. Newts vs. RDF4J vs. ScyllaDB vs. SingleStore

System Properties Comparison JanusGraph vs. Newts vs. RDF4J vs. ScyllaDB vs. SingleStore

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonScyllaDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Time Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cassandra and DynamoDB compatible wide column storeMySQL 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 type
Primary database modelGraph DBMSTime Series DBMSRDF storeWide column storeRelational DBMS
Secondary database modelsKey-value storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitejanusgraph.orgopennms.github.io/­newtsrdf4j.orgwww.scylladb.comwww.singlestore.com
Technical documentationdocs.janusgraph.orggithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentationdocs.scylladb.comdocs.singlestore.com
DeveloperLinux Foundation; originally developed as Titan by AureliusOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.ScyllaDBSingleStore Inc.
Initial release20172014200420152013
Current release0.6.3, February 2023ScyllaDB Open Source 5.4.1, January 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoOpen Source (AGPL), commercial license availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaSSingleStoreDB 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 languageJavaJavaJavaC++C++, Go
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxLinux info64 bit version required
Data schemeyesschema-freeyes infoRDF Schemasschema-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.nononono
Secondary indexesyesnoyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnononoSQL-like DML and DDL statements (CQL)yes infobut no triggers and foreign keys
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesClojure
Java
Python
JavaJava
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyesyes, Luayes
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on CassandranoneShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoin-memory storage is supported as wellyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesyes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServernonoAccess rights for users can be defined per objectFine grained access control via users, groups and roles
More information provided by the system vendor
JanusGraph infosuccessor of TitanNewtsRDF4J infoformerly known as SesameScyllaDBSingleStore infoformer name was MemSQL
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
F ree Tier and Enterprise Edition
» more

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More resources
JanusGraph infosuccessor of TitanNewtsRDF4J infoformerly known as SesameScyllaDBSingleStore infoformer name was MemSQL
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