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DBMS > atoti vs. Google Cloud Spanner vs. SAP HANA

System Properties Comparison atoti vs. Google Cloud Spanner vs. SAP HANA

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.In-memory, column based data store. Available as appliance or cloud service
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#244  Overall
#11  Object oriented DBMS
Score2.71
Rank#93  Overall
#50  Relational DBMS
Score34.27
Rank#22  Overall
#15  Relational DBMS
Websiteatoti.iocloud.google.com/­spannerwww.sap.com/­products/­hana.html
Technical documentationdocs.atoti.iocloud.google.com/­spanner/­docshelp.sap.com/­hana
DeveloperActiveViamGoogleSAP
Initial release20172010
Current release2.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedAppliance or cloud-service
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoQuery statements complying to ANSI 2011yes
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
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonnoSQLScript, R
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
atotiGoogle Cloud SpannerSAP HANA
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