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DBMS > Fujitsu Enterprise Postgres vs. GeoMesa vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison Fujitsu Enterprise Postgres vs. GeoMesa vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Elastic, 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 data
Primary database modelRelational DBMSSpatial DBMSDocument storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.postgresql.fastware.comwww.geomesa.orgwww.harperdb.ioazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationwww.postgresql.fastware.com/­product-manualswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyCCRi and othersHarperDBMicrosoftWakanda SAS
Initial release2014201720162012
Current releaseFujitsu Enterprise Postgres 14, January 20225.0.0, May 20243.1, August 20212.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infofree community edition availablecommercialOpen Source infoAGPLv3, extended 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 languageCScalaNode.jsC++C++, JavaScript
Server operating systemsLinux
Windows
Linux
OS X
hostedLinux
OS X
Windows
Data schemeyesyesdynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like data manipulation statementsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoCustom Functions infosince release 3.1Transact SQLyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashdepending on storage layerA table resides as a whole on one (or more) nodes in a clusterSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes infothe nodes on which a table resides can be definedyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono 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 dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users and rolesyesyes
More information provided by the system vendor
Fujitsu Enterprise PostgresGeoMesaHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Fujitsu Enterprise PostgresGeoMesaHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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