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DBMS > EsgynDB vs. Google BigQuery vs. searchxml vs. ToroDB vs. Warp 10

System Properties Comparison EsgynDB vs. Google BigQuery vs. searchxml vs. ToroDB vs. Warp 10

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonsearchxml  Xexclude from comparisonToroDB  Xexclude from comparisonWarp 10  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionLarge scale data warehouse service with append-only tablesDBMS for structured and unstructured content wrapped with an application serverA MongoDB-compatible JSON document store, built on top of PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSNative XML DBMS
Search engine
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.esgyn.cncloud.google.com/­bigquerywww.searchxml.net/­category/­productsgithub.com/­torodb/­serverwww.warp10.io
Technical documentationcloud.google.com/­bigquery/­docswww.searchxml.net/­support/­handoutswww.warp10.io/­content/­02_Getting_started
DeveloperEsgynGoogleinformationpartners gmbh8KdataSenX
Initial release20152010201520162015
Current release1.0
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL-V3Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++JavaJava
Server operating systemsLinuxhostedWindowsAll OS with a Java 7 VMLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_idyes
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.nonoyesnono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIRESTful HTTP API
WebDAV
XQuery
XSLT
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions infoin JavaScriptyes infoon the application serveryes infoWarpScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infosychronisation to multiple collectionsSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datamultiple readers, single writernono
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Domain, group and role-based access control at the document level and for application servicesAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
EsgynDBGoogle BigQuerysearchxmlToroDBWarp 10
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