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DBMS > GeoMesa vs. Microsoft Azure Synapse Analytics vs. Sqrrl vs. Teradata vs. WakandaDB

System Properties Comparison GeoMesa vs. Microsoft Azure Synapse Analytics vs. Sqrrl vs. Teradata vs. WakandaDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata  Xexclude from comparisonWakandaDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAdaptable, secure NoSQL built on Apache AccumuloA hybrid cloud data analytics software platform (Teradata Vantage)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSpatial DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticssqrrl.comwww.teradata.comwakanda.github.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.teradata.comwakanda.github.io/­doc
DeveloperCCRi and othersMicrosoftAmazon infooriginally Sqrrl Data, Inc.TeradataWakanda SAS
Initial release20142016201219842012
Current release4.0.5, February 2024Teradata Vantage 1.0 MU2, January 20192.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++JavaC++, JavaScript
Server operating systemshostedLinuxhosted
Linux
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoyes infoSQL 2016 + extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnoTransact SQLnoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding, horizontal partitioningSharding infomaking use of HadoopSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic updates per row, document, or graph entityACIDACID
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.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardyes

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More resources
GeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSqrrlTeradataWakandaDB
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