DBMS > Bangdb vs. Elasticsearch vs. Newts
System Properties Comparison Bangdb vs. Elasticsearch vs. Newts
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|Editorial information provided by DB-Engines|
|Name||Bangdb Xexclude from comparison||Elasticsearch Xexclude from comparison||Newts Xexclude from comparison|
|Description||Converged and high performance database for device data, events, time series, document and graph||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||Time Series DBMS based on Cassandra|
|Primary database model||Document store|
Time Series DBMS
|Search engine||Time Series DBMS|
|Secondary database models||Spatial DBMS||Document store|
|Developer||Sachin Sinha, BangDB||Elastic||OpenNMS Group|
|Current release||BangDB 2.0, October 2021||8.6, January 2023|
|License Commercial or Open Source||Open Source BSD 3||Open Source Elastic License||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C, C++||Java||Java|
|Server operating systems||Linux||All OS with a Java VM||Linux|
|Data scheme||schema-free||schema-free Flexible type definitions. Once a type is defined, it is persistent||schema-free|
|Typing predefined data types such as float or date||yes: string, long, double, int, geospatial, stream, events||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|Secondary indexes||yes secondary, composite, nested, reverse, geospatial||yes All search fields are automatically indexed||no|
|SQL Support of SQL||SQL like support with command line tool||SQL-like query language||no|
|APIs and other access methods||Proprietary protocol|
RESTful HTTP API
RESTful HTTP/JSON API
|Supported programming languages||C|
Community Contributed Clients
|Server-side scripts Stored procedures||no||yes||no|
|Triggers||yes, Notifications (with Streaming only)||yes by using the 'percolation' feature||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm||Sharding||Sharding based on Cassandra|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor, Knob for CAP (enterprise version only)||yes||selectable replication factor based on Cassandra|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||ES-Hadoop Connector||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Tunable consistency, set CAP knob accordingly||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||no|
|Concurrency Support for concurrent manipulation of data||yes, optimistic concurrency control||yes||yes|
|Durability Support for making data persistent||yes, implements WAL (Write ahead log) as well||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes, run db with in-memory only mode||Memcached and Redis integration||no|
|User concepts Access control||yes (enterprise version only)||no|
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