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DBMS > Apache Drill vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. Microsoft Azure AI Search vs. Transbase

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. Microsoft Azure AI Search vs. Transbase

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTransbase  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA 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.Search-as-a-service for web and mobile app developmentA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.05
Rank#355  Overall
#150  Relational DBMS
Websitedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­spannerazure.microsoft.com/­en-us/­services/­searchwww.transaction.de/­en/­products/­transbase.html
Technical documentationdrill.apache.org/­docscloud.google.com/­spanner/­docslearn.microsoft.com/­en-us/­azure/­searchwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationAtos Convergence CreatorsGoogleMicrosoftTransaction Software GmbH
Initial release20122016201720151987
Current release1.20.3, January 20231703V1Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxhostedhostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infoQuery statements complying to ANSI 2011noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++All languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnononoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.yes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID infoStrict serializable isolationnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnonono
User concepts infoAccess controlDepending on the underlying data sourceLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Apache DrillAtos Standard Common RepositoryGoogle Cloud SpannerMicrosoft Azure AI SearchTransbase
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