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DBMS > Amazon CloudSearch vs. Google Cloud Bigtable vs. Rockset vs. Sphinx vs. STSdb

System Properties Comparison Amazon CloudSearch vs. Google Cloud Bigtable vs. Rockset vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A 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 databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelSearch engineKey-value store
Wide column store
Document storeSearch engineKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­cloudsearchcloud.google.com/­bigtablerockset.comsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­cloudsearchcloud.google.com/­bigtable/­docsdocs.rockset.comsphinxsearch.com/­docs
DeveloperAmazonGoogleRocksetSphinx Technologies Inc.STS Soft SC
Initial release20122015201920012011
Current release3.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#
Server operating systemshostedhostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnodynamic typingnoyes infoprimitive types and user defined types (classes)
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 fieldsno
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)no
APIs and other access methodsHTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTProprietary protocol.NET Client API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
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 supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSInternal replication in Colossus, and regional replication between two clusters in different zonesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset consolenono

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More resources
Amazon CloudSearchGoogle Cloud BigtableRocksetSphinxSTSdb
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