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DBMS > Fujitsu Enterprise Postgres vs. Galaxybase vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. WakandaDB

System Properties Comparison Fujitsu Enterprise Postgres vs. Galaxybase vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. WakandaDB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGalaxybase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Scalable, ACID-compliant native distributed parallel graph platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSGraph DBMSRelational DBMSSearch engineObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.postgresql.fastware.comgalaxybase.comazure.microsoft.com/­services/­synapse-analyticssphinxsearch.comwakanda.github.io
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docswakanda.github.io/­doc
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司MicrosoftSphinx Technologies Inc.Wakanda SAS
Initial release2017201620012012
Current releaseFujitsu Enterprise Postgres 14, January 2022Nov 20, November 20213.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license available
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 languageCC and JavaC++C++C++, JavaScript
Server operating systemsLinux
Windows
LinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesStrong typed schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyesSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
ADO.NET
JDBC
ODBC
Proprietary protocolRESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
Python
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresuser defined functionsuser defined procedures and functionsTransact SQLnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnonenone
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 integrityyesyes infoRelationships in graphsno 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 dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlyesnoyes

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More resources
Fujitsu Enterprise PostgresGalaxybaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinxWakandaDB
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