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DBMS > atoti vs. Google BigQuery vs. Warp 10

System Properties Comparison atoti vs. Google BigQuery vs. Warp 10

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Large scale data warehouse service with append-only tablesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelObject oriented DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#245  Overall
#11  Object oriented DBMS
Score62.88
Rank#19  Overall
#13  Relational DBMS
Score0.15
Rank#331  Overall
#30  Time Series DBMS
Websiteatoti.iocloud.google.com/­bigquerywww.warp10.io
Technical documentationdocs.atoti.iocloud.google.com/­bigquery/­docswww.warp10.io/­content/­02_Getting_started
DeveloperActiveViamGoogleSenX
Initial release20102015
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache License 2.0
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.
Implementation languageJavaJava
Server operating systemshostedLinux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno
APIs and other access methodsRESTful HTTP/JSON APIHTTP API
Jupyter
WebSocket
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonuser defined functions infoin JavaScriptyes infoWarpScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
atotiGoogle BigQueryWarp 10
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