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DBMS > EXASOL vs. Google BigQuery vs. GridGain vs. Snowflake vs. Transbase

System Properties Comparison EXASOL vs. Google BigQuery vs. GridGain vs. Snowflake vs. Transbase

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGridGain  Xexclude from comparisonSnowflake  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesGridGain is an in-memory computing platform, built on Apache IgniteCloud-based data warehousing service for structured and semi-structured dataA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score0.20
Rank#327  Overall
#144  Relational DBMS
Websitewww.exasol.comcloud.google.com/­bigquerywww.gridgain.comwww.snowflake.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docswww.gridgain.com/­docs/­index.htmldocs.snowflake.net/­manuals/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperExasolGoogleGridGain Systems, Inc.Snowflake Computing Inc.Transaction Software GmbH
Initial release20002010200720141987
Current releaseGridGain 8.5.1Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)user defined functionsyes
Triggersyesnoyes (cache interceptors and events)no infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDyes
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.yesnoyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementationsUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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More resources
EXASOLGoogle BigQueryGridGainSnowflakeTransbase
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