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DBMS > Bangdb vs. eXtremeDB vs. LevelDB vs. MarkLogic vs. Sadas Engine

System Properties Comparison Bangdb vs. eXtremeDB vs. LevelDB vs. MarkLogic vs. Sadas Engine

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisoneXtremeDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphNatively in-memory DBMS with options for persistency, high-availability and clusteringEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitebangdb.comwww.mcobject.comgithub.com/­google/­leveldbwww.marklogic.comwww.sadasengine.com
Technical documentationdocs.bangdb.comwww.mcobject.com/­docs/­extremedb.htmgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperSachin Sinha, BangDBMcObjectGoogleMarkLogic Corp.SADAS s.r.l.
Initial release20122001201120012006
Current releaseBangDB 2.0, October 20218.2, 20211.23, February 202111.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoBSDcommercial inforestricted free version is availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++C++C++C++
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeschema-freeyesschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyesyes
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 availablenoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesyes
SQL infoSupport of SQLSQL like support with command line toolyes infowith the option: eXtremeSQLnoyes infoSQL92yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnoyes infovia XQuery or JavaScriptno
Triggersyes, Notifications (with Streaming only)yes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning / shardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes (enterprise version only)noRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BangdbeXtremeDBLevelDBMarkLogicSadas Engine
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 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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BangdbeXtremeDBLevelDBMarkLogicSadas Engine
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