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DBMS > Derby vs. FileMaker vs. Hypertable vs. Microsoft Azure Synapse Analytics vs. RavenDB

System Properties Comparison Derby vs. FileMaker vs. Hypertable vs. Microsoft Azure Synapse Analytics vs. RavenDB

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source BigTable implementation based on distributed file systems such as HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitedb.apache.org/­derbywww.claris.com/­filemakerazure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlwww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperApache Software FoundationClaris infoa subsidiary of AppleHypertable Inc.MicrosoftHibernating Rhinos
Initial release19971983200920162010
Current release10.17.1.0, November 202319.4.1, November 20210.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license available
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.
Implementation languageJavaC++C++C#
Server operating systemsAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.yesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesyes infovia pluginsnoyesSQL-like query language (RQL)
APIs and other access methodsJDBCFilemaker WebDirect
JDBC
ODBC
C++ API
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaPHPC++
Java
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored ProceduresyesnoTransact SQLyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14selectable replication factor on file system levelyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesnoyesAuthorization levels configured per client per database

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFileMakerHypertableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDB
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