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DBMS > Databend vs. eXtremeDB vs. H2 vs. Hypertable

System Properties Comparison Databend vs. eXtremeDB vs. H2 vs. Hypertable

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisoneXtremeDB  Xexclude from comparisonH2  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityNatively in-memory DBMS with options for persistency, high-availability and clusteringFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.mcobject.comwww.h2database.com
Technical documentationdocs.databend.comwww.mcobject.com/­docs/­extremedb.htmwww.h2database.com/­html/­main.html
DeveloperDatabend LabsMcObjectThomas MuellerHypertable Inc.
Initial release2021200120052009
Current release1.0.59, April 20238.2, 20212.2.220, July 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC and C++JavaC++
Server operating systemshosted
Linux
macOS
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infosupport of XML interfaces availableno
Secondary indexesnoyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
C++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Java
Lua
Python
Scala
JavaC++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsno
Triggersnoyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabendeXtremeDBH2Hypertable
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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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 30 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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DatabendeXtremeDBH2Hypertable
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