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

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonEsgynDB  Xexclude from comparisonFileMaker  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDataStax 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.
Primary database modelRelational DBMSWide column storeRelational 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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.datastax.com/­products/­datastax-enterprisewww.esgyn.cnwww.claris.com/­filemaker
Technical documentationdocs.databend.comdocs.datastax.comwww.claris.com/­resources/­documentation
DeveloperDatabend LabsDataStaxEsgynClaris infoa subsidiary of Apple
Initial release2021201120151983
Current release1.0.59, April 20236.8, April 202019.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
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.
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Implementation languageRustJavaC++, Java
Server operating systemshosted
Linux
macOS
Linux
OS X
LinuxiOS infoclient part only
Linux
OS X
Windows
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.nononoyes infoA http query request can return the data in XML format
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLyesyes infovia plugins
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetPHP
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication between multi datacentersSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
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 Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsACIDno
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess 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 services
More information provided by the system vendor
DatabendDatastax EnterpriseEsgynDBFileMaker
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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DatabendDatastax EnterpriseEsgynDBFileMaker
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