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DBMS > Amazon CloudSearch vs. Atos Standard Common Repository vs. Databricks vs. SAP HANA vs. Tkrzw

System Properties Comparison Amazon CloudSearch vs. Atos Standard Common Repository vs. Databricks vs. SAP HANA vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonSAP HANA  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.In-memory, column based data store. Available as appliance or cloud serviceA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSKey-value store
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
Score1.85
Rank#137  Overall
#12  Search engines
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­cloudsearchatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.sap.com/­products/­hana.htmldbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comhelp.sap.com/­hana
DeveloperAmazonAtos Convergence CreatorsDatabricksSAPMikio Hirabayashi
Initial release20122016201320102020
Current release17032.0 SPS07 (April 4, 2023), April 20230.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinuxhostedAppliance or cloud-serviceLinux
macOS
Data schemeyesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesno
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.yesyesnono
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnonowith Databricks SQLyesno
APIs and other access methodsHTTP APILDAPJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesSQLScript, Rno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell divisionyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyes infousing specific database classes
User concepts infoAccess controlauthentication via encrypted signaturesLDAP bind authenticationyesno
More information provided by the system vendor
Amazon CloudSearchAtos Standard Common RepositoryDatabricksSAP HANATkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Amazon CloudSearchAtos Standard Common RepositoryDatabricksSAP HANATkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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