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DBMS > AntDB vs. Datastax Enterprise vs. FileMaker vs. HugeGraph

System Properties Comparison AntDB vs. Datastax Enterprise vs. FileMaker vs. HugeGraph

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFileMaker  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleDataStax 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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSWide column storeRelational 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#317  Overall
#141  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlwww.datastax.com/­products/­datastax-enterprisewww.claris.com/­filemakergithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.datastax.comwww.claris.com/­resources/­documentationhugegraph.apache.org/­docs
DeveloperAsiaInfo Technologies LimitedDataStaxClaris infoa subsidiary of AppleBaidu
Initial release201119832018
Current release6.8, April 202019.4.1, November 20210.9
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaJava
Server operating systemsLinux
OS X
iOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Unix
Data schemeyesschema-freeyesyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL2016 compliantSQL-like DML and DDL statements (CQL); Spark SQLyes infovia pluginsno
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Filemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
PHPGroovy
Java
Python
Server-side scripts infoStored proceduresnoyesasynchronous Gremlin script jobs
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication, warm standby infosince Version 14yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesnoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 objectsimple rights management via user accounts and connection to external directory servicesUsers, roles and permissions
More information provided by the system vendor
AntDBDatastax EnterpriseFileMakerHugeGraph
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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More resources
AntDBDatastax EnterpriseFileMakerHugeGraph
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