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DBMS > eXtremeDB vs. Impala

System Properties Comparison eXtremeDB vs. Impala

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringAnalytic DBMS for Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#214  Overall
#103  Relational DBMS
#12  Time Series DBMS
Score14.74
Rank#37  Overall
#23  Relational DBMS
Websitewww.mcobject.com/­extremedbfamilywww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperMcObjectCloudera
Initial release20012013
Current release8.0, May 20183.3.0, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
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 indexesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like DML and DDL statements
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
proprietary protocol
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduce
Triggersyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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 rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
eXtremeDBImpala
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
eXtremeDBImpala
Recent citations in the news

Unique Active Replication Fabric feature announced by McObject for its eXtremeDB IoT SDK bundle
13 May 2019, GlobeNewswire

McObject wins IoT Vendor of the Year
6 December 2018, GlobeNewswire

New Update Speeds eXtremeDB Financial Edition for HPC
11 May 2018, insideHPC

McObject's new eXtremeDB Financial Edition for HPC offers excellent performance and a host of new features
9 May 2018, GlobeNewswire

McObject's new eXtremeDB running on E8 Storage sets multiple records in STAC benchmark tests
22 May 2018, GlobeNewswire

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark
3 July 2014, GigaOM

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

provided by Google News

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