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

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

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparisonYottaDB  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.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 DatabaseA fast and solid embedded Key-value store
Primary database modelRelational DBMSWide column storeRelational DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitedb.apache.org/­derbyazure.microsoft.com/­services/­synapse-analyticsravendb.netyottadb.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docsyottadb.com/­resources/­documentation
DeveloperApache Software FoundationHypertable Inc.MicrosoftHibernating RhinosYottaDB, LLC
Initial release19972009201620102001
Current release10.17.1.0, November 20230.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C#C
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS
Raspberry Pi
Windows
Docker
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnono
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.yesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLyesnoyesSQL-like query language (RQL)by using the Octo plugin
APIs and other access methodsJDBCC++ 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
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresJava Stored ProceduresnoTransact SQLyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
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 integrityyesnono 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 dataACIDnoACIDACID, Cluster-wide transaction availableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesAuthorization levels configured per client per databaseUsers and groups based on OS-security mechanisms

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