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DBMS > Google BigQuery vs. Oracle Berkeley DB vs. SAP HANA vs. SWC-DB

System Properties Comparison Google BigQuery vs. Oracle Berkeley DB vs. SAP HANA vs. SWC-DB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSAP HANA  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used in-process key-value storeIn-memory, column based data store. Available as appliance or cloud serviceA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitecloud.google.com/­bigquerywww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sap.com/­products/­hana.htmlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcloud.google.com/­bigquery/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlhelp.sap.com/­hana
DeveloperGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleSAPAlex Kashirin
Initial release2010199420102020
Current release18.1.40, May 20202.0 SPS07 (April 4, 2023), April 20230.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Appliance or cloud-serviceLinux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes
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.noyes infoonly with the Berkeley DB XML editionnono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableyesSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Proprietary protocol
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.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
C++
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoSQLScript, Rno
Triggersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noyes

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More resources
Google BigQueryOracle Berkeley DBSAP HANASWC-DB infoSuper Wide Column Database
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