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DBMS > EXASOL vs. Google BigQuery vs. Yaacomo

System Properties Comparison EXASOL vs. Google BigQuery vs. Yaacomo

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score29.65
Rank#25  Overall
#15  Relational DBMS
Score0.00
Rank#337  Overall
#138  Relational DBMS
Websitewww.exasol.com/­en/­productscloud.google.com/­bigqueryyaacomo.com
Technical documentationwww.exasol.com/­en/­community/­resourcescloud.google.com/­bigquery/­docs
DeveloperExasolGoogleQ2WEB GmbH
Initial release200020102009
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedAndroid
Linux
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScript
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
EXASOLGoogle BigQueryYaacomo
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