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DBMS > Amazon CloudSearch vs. IBM Db2 Event Store vs. Rockset vs. Sphinx

System Properties Comparison Amazon CloudSearch vs. IBM Db2 Event Store vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDistributed Event Store optimized for Internet of Things use casesA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineEvent Store
Time Series DBMS
Document storeSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­products/­db2-event-storerockset.comsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.ibm.com/­docs/­en/­db2-event-storedocs.rockset.comsphinxsearch.com/­docs
DeveloperAmazonIBMRocksetSphinx Technologies Inc.
Initial release2012201720192001
Current release2.03.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingno
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.nono infoingestion from XML files supported
Secondary indexesyes infoall search fields are automatically indexednoall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP RESTProprietary protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSActive-active shard replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Amazon CloudSearchIBM Db2 Event StoreRocksetSphinx
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