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DBMS > Google BigQuery vs. SAP SQL Anywhere vs. Sphinx vs. TerminusDB

System Properties Comparison Google BigQuery vs. SAP SQL Anywhere vs. Sphinx vs. TerminusDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesRDBMS 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 databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitecloud.google.com/­bigquerywww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.comterminusdb.com
Technical documentationcloud.google.com/­bigquery/­docshelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperGoogleSAP infoformerly SybaseSphinx Technologies Inc.DataChemist Ltd.
Initial release2010199220012018
Current release17, July 20153.5.1, February 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Prolog, Rust
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesno
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
HTTP API
JDBC
ODBC
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Java
JavaScript
Objective-C
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
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes, in C/C++, Java, .Net or Perlnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoDatabase mirroringnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACID
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.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardnoRole-based access control

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More resources
Google BigQuerySAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinxTerminusDB infoformer name was DataChemist
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