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DBMS > Apache Spark (SQL) vs. Google BigQuery vs. Oracle Coherence

System Properties Comparison Apache Spark (SQL) vs. Google BigQuery vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingLarge scale data warehouse service with append-only tablesOracles in-memory data grid solution
Primary database modelRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.76
Rank#30  Overall
#18  Relational DBMS
Score57.96
Rank#19  Overall
#13  Relational DBMS
Score1.66
Rank#132  Overall
#22  Key-value stores
Websitespark.apache.org/­sqlcloud.google.com/­bigquerywww.oracle.com/­java/­coherence
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlcloud.google.com/­bigquery/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationGoogleOracle
Initial release201420102007
Current release3.5.0 ( 2.13), September 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJCache
JPA
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptno
Triggersnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)authentification to access the cache via certificates or http basic authentication

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More resources
Apache Spark (SQL)Google BigQueryOracle Coherence
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