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DBMS > GBase vs. Google BigQuery vs. Ignite vs. Valentina Server

System Properties Comparison GBase vs. Google BigQuery vs. Ignite vs. Valentina Server

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIgnite  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.Large 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.Object-relational database and reports server
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#193  Overall
#90  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.18
Rank#331  Overall
#145  Relational DBMS
Websitewww.gbase.cncloud.google.com/­bigqueryignite.apache.orgwww.valentina-db.net
Technical documentationcloud.google.com/­bigquery/­docsapacheignite.readme.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleApache Software FoundationParadigma Software
Initial release201020151999
Current releaseGBase 8aApache Ignite 2.65.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .Net
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes
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.noyes
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
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyes (cache interceptors and events)yes
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 Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
GBaseGoogle BigQueryIgniteValentina Server
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