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DBMS > Google Cloud Spanner vs. Heroic vs. Microsoft Azure AI Search vs. OpenQM vs. Oracle Berkeley DB

System Properties Comparison Google Cloud Spanner vs. Heroic vs. Microsoft Azure AI Search vs. OpenQM vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value store
Primary database modelRelational DBMSTime Series DBMSSearch engineMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitecloud.google.com/­spannergithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationcloud.google.com/­spanner/­docsspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGoogleSpotifyMicrosoftRocket Software, originally Martin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20172014201519931994
Current releaseV13.4-1218.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nononoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnononoyesno
Triggersnononoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yesyes infoImplicit feature of the cloud serviceyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationAccess rights can be defined down to the item levelno

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More resources
Google Cloud SpannerHeroicMicrosoft Azure AI SearchOpenQM infoalso called QMOracle Berkeley DB
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