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DBMS > atoti vs. Datastax Enterprise vs. HugeGraph vs. JanusGraph

System Properties Comparison atoti vs. Datastax Enterprise vs. HugeGraph vs. JanusGraph

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHugeGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelObject oriented DBMSWide column storeGraph DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websiteatoti.iowww.datastax.com/­products/­datastax-enterprisegithub.com/­hugegraph
hugegraph.apache.org
janusgraph.org
Technical documentationdocs.atoti.iodocs.datastax.comhugegraph.apache.org/­docsdocs.janusgraph.org
DeveloperActiveViamDataStaxBaiduLinux Foundation; originally developed as Titan by Aurelius
Initial release201120182017
Current release6.8, April 20200.90.6.3, February 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava
Server operating systemsLinux
OS X
Linux
macOS
Unix
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresPythonnoasynchronous Gremlin script jobsyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infono "single point of failure"yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectUsers, roles and permissionsUser authentification and security via Rexster Graph Server
More information provided by the system vendor
atotiDatastax EnterpriseHugeGraphJanusGraph infosuccessor of Titan
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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atotiDatastax EnterpriseHugeGraphJanusGraph infosuccessor of Titan
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