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DBMS > Amazon Aurora vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. Teradata Aster vs. WakandaDB

System Properties Comparison Amazon Aurora vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. Teradata Aster vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWakandaDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonElastic, 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 databasesPlatform for big data analytics on multistructured data sources and typesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroraazure.microsoft.com/­services/­synapse-analyticssphinxsearch.comwakanda.github.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docswakanda.github.io/­doc
DeveloperAmazonMicrosoftSphinx Technologies Inc.TeradataWakanda SAS
Initial release20152016200120052012
Current release3.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, JavaScript
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)yesno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
Python
R
JavaScript
Server-side scripts infoStored proceduresyesTransact SQLnoR packagesyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standardyes

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More resources
Amazon AuroraMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinxTeradata AsterWakandaDB
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