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DBMS > AgensGraph vs. Datastax Enterprise vs. dBASE vs. Google BigQuery vs. JanusGraph

System Properties Comparison AgensGraph vs. Datastax Enterprise vs. dBASE vs. Google BigQuery vs. JanusGraph

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisondBASE  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDataStax 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.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Large scale data warehouse service with append-only tablesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelGraph DBMS
Relational DBMS
Wide column storeRelational DBMSRelational 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
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitebitnine.net/­agensgraphwww.datastax.com/­products/­datastax-enterprisewww.dbase.comcloud.google.com/­bigqueryjanusgraph.org
Technical documentationbitnine.net/­documentationdocs.datastax.comwww.dbase.com/­support/­knowledgebasecloud.google.com/­bigquery/­docsdocs.janusgraph.org
DeveloperBitnine Global Inc.DataStaxAsthon TateGoogleLinux Foundation; originally developed as Titan by Aurelius
Initial release20162011197920102017
Current release2.1, December 20186.8, April 2020dBASE 2019, 20190.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageCJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
DOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Unix
Windows
Data schemedepending on used data modelschema-freeyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLnoyesno
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
none infoThe IDE can access other DBMS or ODBC-sources.RESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
dBase proprietary IDE.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnono infoThe IDE can access stored procedures in other database systems.user defined functions infoin JavaScriptyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infono "single point of failure"nonenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess rights for users and rolesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)User authentification and security via Rexster Graph Server
More information provided by the system vendor
AgensGraphDatastax EnterprisedBASEGoogle BigQueryJanusGraph 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...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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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...
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Licensing and pricing modelsAnnual subscription
» more

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AgensGraphDatastax EnterprisedBASEGoogle BigQueryJanusGraph infosuccessor of Titan
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