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DBMS > Datastax Enterprise vs. EsgynDB vs. FileMaker vs. Ingres

System Properties Comparison Datastax Enterprise vs. EsgynDB vs. FileMaker vs. Ingres

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEsgynDB  Xexclude from comparisonFileMaker  Xexclude from comparisonIngres  Xexclude from comparison
DescriptionDataStax 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Well established RDBMS
Primary database modelWide column storeRelational DBMSRelational DBMSRelational 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
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.esgyn.cnwww.claris.com/­filemakerwww.actian.com/­databases/­ingres
Technical documentationdocs.datastax.comwww.claris.com/­resources/­documentationdocs.actian.com/­ingres
DeveloperDataStaxEsgynClaris infoa subsidiary of AppleActian Corporation
Initial release2011201519831974 infooriginally developed at University Berkely in early 1970s
Current release6.8, April 202019.4.1, November 202111.2, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaC++, JavaC
Server operating systemsLinux
OS X
LinuxiOS infoclient part only
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyes
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.nonoyes infoA http query request can return the data in XML formatno infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesyes infovia pluginsyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetPHP
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication between multi datacentersSource-replica replication, warm standby infosince Version 14Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.yesnono
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseEsgynDBFileMakerIngres
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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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...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseEsgynDBFileMakerIngres
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