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DBMS > Google Cloud Datastore vs. SAP SQL Anywhere vs. Sphinx vs. Splunk vs. YottaDB

System Properties Comparison Google Cloud Datastore vs. SAP SQL Anywhere vs. Sphinx vs. Splunk vs. YottaDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparisonSplunk  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesAnalytics Platform for Big DataA fast and solid embedded Key-value store
Primary database modelDocument storeRelational DBMSSearch engineSearch engineKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitecloud.google.com/­datastorewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.comwww.splunk.comyottadb.com
Technical documentationcloud.google.com/­datastore/­docshelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunkyottadb.com/­resources/­documentation
DeveloperGoogleSAP infoformerly SybaseSphinx Technologies Inc.Splunk Inc.YottaDB, LLC
Initial release20081992200120032001
Current release17, July 20153.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition availableOpen Source infoAGPL 3.0
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++C
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesnoyesno
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.noyesyesno
Secondary indexesyesyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commandsby using the Octo plugin
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
HTTP API
JDBC
ODBC
Proprietary protocolHTTP RESTPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresusing Google App Engineyes, in C/C++, Java, .Net or Perlnoyes
TriggersCallbacks using the Google Apps Engineyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replication infoDatabase mirroringnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoAccess rights for users and rolesUsers and groups based on OS-security mechanisms

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More resources
Google Cloud DatastoreSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinxSplunkYottaDB
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