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DBMS > eXtremeDB vs. Google BigQuery

System Properties Comparison eXtremeDB vs. Google BigQuery

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringLarge scale data warehouse service with append-only tables
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.94
Rank#193  Overall
#89  Relational DBMS
#18  Time Series DBMS
Score54.89
Rank#19  Overall
#13  Relational DBMS
Websitewww.mcobject.comcloud.google.com/­bigquery
Technical documentationwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­bigquery/­docs
DeveloperMcObjectGoogle
Initial release20012010
Current release8.2, 2021
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeyesyes
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.no infosupport of XML interfaces availableno
Secondary indexesyesno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScript
Triggersyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.yesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
eXtremeDBGoogle BigQuery
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Recent citations in the news

McObject Announces the Release of eXtremeDB/rt 1.2
23 May 2023, Embedded Computing Design

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, Embedded

McObject’s new eXtremeDB Cluster provides distributed database solution for real-time apps
20 July 2011, Embedded

Figure 2: Dimensions of Data Characteristics { Temporal Data
13 September 2018, ResearchGate

Schneider Electric to collaborate with McObject
14 October 2015, Construction Week Online

provided by Google News

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22 December 2021, CIO

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11 October 2022, Ledger Insights

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19 July 2023, FinSMEs

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