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DBMS > Google BigQuery vs. Ignite vs. Oracle Rdb

System Properties Comparison Google BigQuery vs. Ignite vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIgnite  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score1.23
Rank#180  Overall
#82  Relational DBMS
Websitecloud.google.com/­bigqueryignite.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationcloud.google.com/­bigquery/­docsapacheignite.readme.io/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperGoogleApache Software FoundationOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201020151984
Current releaseApache Ignite 2.67.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .Net
Server operating systemshostedLinux
OS X
Solaris
Windows
HP Open VMS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema 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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsRESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
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 dataACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementations

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More resources
Google BigQueryIgniteOracle Rdb
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