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DBMS > Bangdb vs. Elasticsearch vs. NuoDB vs. TimescaleDB

System Properties Comparison Bangdb vs. Elasticsearch vs. NuoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonElasticsearch  Xexclude from comparisonNuoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricNuoDB is a webscale distributed database that supports SQL and ACID transactionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Search engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector DBMS
Relational 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
Score132.83
Rank#7  Overall
#1  Search engines
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitebangdb.comwww.elastic.co/­elasticsearchwww.3ds.com/­nuodb-distributed-sql-databasewww.timescale.com
Technical documentationdocs.bangdb.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldoc.nuodb.comdocs.timescale.com
DeveloperSachin Sinha, BangDBElasticDassault Systèmes infooriginally NuoDB, Inc.Timescale
Initial release2012201020132017
Current releaseBangDB 2.0, October 20218.6, January 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoElastic Licensecommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++C
Server operating systemsLinuxAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesJava, SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, Notifications (with Streaming only)yes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingdata is dynamically stored/cached on the nodes where it is read/writtenyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyes infoManaged transparently by NuoDBSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infoMVCCyes
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 modeMemcached and Redis integrationyes infoTemporary tableno
User concepts infoAccess controlyes (enterprise version only)Standard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard

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More resources
BangdbElasticsearchNuoDBTimescaleDB
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