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DBMS > FeatureBase vs. Google Cloud Spanner vs. Ingres vs. searchxml

System Properties Comparison FeatureBase vs. Google Cloud Spanner vs. Ingres vs. searchxml

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIngres  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Well established RDBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.featurebase.comcloud.google.com/­spannerwww.actian.com/­databases/­ingreswww.searchxml.net/­category/­products
Technical documentationdocs.featurebase.comcloud.google.com/­spanner/­docsdocs.actian.com/­ingreswww.searchxml.net/­support/­handouts
DeveloperMolecula and Pilosa Open Source ContributorsGoogleActian Corporationinformationpartners gmbh
Initial release201720171974 infooriginally developed at University Berkely in early 1970s2015
Current release2022, May 202212.0, July 20241.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++
Server operating systemsLinux
macOS
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL queriesyes infoQuery statements complying to ANSI 2011yesno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyesyes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.Ingres Replicatoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
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-standardDomain, group and role-based access control at the document level and for application services

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More resources
FeatureBaseGoogle Cloud SpannerIngressearchxml
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