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DBMS > Google BigQuery vs. OpenEdge vs. TimesTen vs. XAP

System Properties Comparison Google BigQuery vs. OpenEdge vs. TimesTen vs. XAP

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOpenEdge  Xexclude from comparisonTimesTen  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesApplication development environment with integrated database management systemIn-Memory RDBMS compatible to OracleHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score33.32
Rank#24  Overall
#15  Relational DBMS
Score5.06
Rank#74  Overall
#41  Relational DBMS
Score2.44
Rank#112  Overall
#54  Relational DBMS
Score1.00
Rank#168  Overall
#26  Document stores
#31  Key-value stores
Websitecloud.google.com/­bigquerywww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.gigaspaces.com/­products/­xap
Technical documentationcloud.google.com/­bigquery/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­database/­timesten-18.1docs.gigaspaces.com/­latest/­landing.html
DeveloperGoogleProgress Software CorporationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Gigaspaces Technologies
Initial release2010198419982000
Current releaseOpenEdge 12.2, March 202011 Release 2 (11.2.2.8.0)14.5.0, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono infoXML can be used for describing objects metadata
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyes infoclose to SQL 92yesSQL-like query language and DML statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)C
C++
Java
PL/SQL
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesPL/SQLyes
Triggersnoyesnoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4noneSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Users and groupsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Google BigQueryOpenEdgeTimesTenXAP
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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More resources
Google BigQueryOpenEdgeTimesTenXAP
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