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DBMS > Firebird vs. jBASE vs. Microsoft Azure Synapse Analytics vs. WakandaDB vs. YottaDB

System Properties Comparison Firebird vs. jBASE vs. Microsoft Azure Synapse Analytics vs. WakandaDB vs. YottaDB

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseA robust multi-value DBMS comprising development tools and middlewareElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA fast and solid embedded Key-value store
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSObject oriented DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitewww.firebirdsql.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­synapse-analyticswakanda.github.ioyottadb.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­docyottadb.com/­resources/­documentation
DeveloperFirebird FoundationRocket Software (formerly Zumasys)MicrosoftWakanda SASYottaDB, LLC
Initial release2000 infoAs fork of Borland's InterBase1991201620122001
Current release5.0.1, August 20245.72.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialcommercialOpen Source infoAGPLv3, extended 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 languageC and C++C++C++, JavaScriptC
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
AIX
Linux
Windows
hostedLinux
OS X
Windows
Docker
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.yesnonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesEmbedded SQL for jBASE in BASICyesnoby using the Octo plugin
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
C#
Java
PHP
JavaScriptC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresPSQLyesTransact SQLyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights can be defined down to the item levelyesyesUsers and groups based on OS-security mechanisms

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More resources
FirebirdjBASEMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDBYottaDB
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