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DBMS > Brytlyt vs. CockroachDB vs. EDB Postgres vs. FileMaker vs. NuoDB

System Properties Comparison Brytlyt vs. CockroachDB vs. EDB Postgres vs. FileMaker vs. NuoDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCockroachDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.NuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websitebrytlyt.iowww.cockroachlabs.comwww.enterprisedb.comwww.claris.com/­filemakerwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.brytlyt.iowww.cockroachlabs.com/­docswww.enterprisedb.com/­docswww.claris.com/­resources/­documentationdoc.nuodb.com
DeveloperBrytlytCockroach LabsEnterpriseDBClaris infoa subsidiary of AppleDassault Systèmes infooriginally NuoDB, Inc.
Initial release20162015200519832013
Current release5.0, August 202324.1.0, May 202414, December 202119.4.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercial infoBSD for PostgreSQL-componentscommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAGoCC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesdynamic schemayesyesyes
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.yes infospecific XML-type available, but no XML query functionality.noyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyes infostandard with numerous extensionsyes infovia pluginsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHP.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesJava, SQL
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning infoby hash, list or rangenonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTMulti-source replicationSource-replica replication, warm standby infosince Version 14yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTemporary table
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesStandard SQL roles/ privileges, Administrative Users

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More resources
BrytlytCockroachDBEDB PostgresFileMakerNuoDB
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