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DBMS > Bangdb vs. Ignite vs. InfinityDB vs. MarkLogic

System Properties Comparison Bangdb vs. Ignite vs. InfinityDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interfaceOperational and transactional Enterprise NoSQL database
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitebangdb.comignite.apache.orgboilerbay.comwww.marklogic.com
Technical documentationdocs.bangdb.comapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualdocs.marklogic.com
DeveloperSachin Sinha, BangDBApache Software FoundationBoiler Bay Inc.MarkLogic Corp.
Initial release2012201520022001
Current releaseBangDB 2.0, October 2021Apache Ignite 2.64.011.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++, Java, .NetJavaC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.noyesnoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLnoyes infoSQL92
APIs and other access methodsProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
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
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes infovia XQuery or JavaScript
Triggersyes, Notifications (with Streaming only)yes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyesnoyes, with Range Indexes
User concepts infoAccess controlyes (enterprise version only)Security Hooks for custom implementationsnoRole-based access control at the document and subdocument levels

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BangdbIgniteInfinityDBMarkLogic
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