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DBMS > Amazon CloudSearch vs. Memgraph vs. OmniSci vs. Sphinx vs. Teradata

System Properties Comparison Amazon CloudSearch vs. Memgraph vs. OmniSci vs. Sphinx vs. Teradata

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMemgraph  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineGraph DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#117  Overall
#10  Search engines
Score0.27
Rank#275  Overall
#23  Graph DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Score7.61
Rank#55  Overall
#5  Search engines
Score69.83
Rank#17  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­cloudsearchmemgraph.comwww.omnisci.comsphinxsearch.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.memgraph.comdocs.omnisci.comsphinxsearch.com/­docsdocs.teradata.com
DeveloperAmazonMemgraph LtdMapD Technologies, Inc.Sphinx Technologies Inc.Teradata
Initial release20122017201620011984
Current release5.6, April 20213.4.1, July 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infoFree license availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++ and CUDAC++
Server operating systemshostedLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeyesschema-free and schema-optionalyesyesyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexednoyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIBolt protocol
Cypher query language
JDBC
ODBC
Thrift
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infodynamic graph partitioningSharding infoRound robinSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication using RAFTMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes 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.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers, roles and permissionsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchMemgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SphinxTeradata
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon CloudSearchMemgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SphinxTeradata
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