DBMS > Apache Druid vs. Bangdb
System Properties Comparison Apache Druid vs. Bangdb
Please select another system to include it in the comparison.
Our visitors often compare Apache Druid and Bangdb with MongoDB.
|Editorial information provided by DB-Engines|
|Name||Apache Druid Xexclude from comparison||Bangdb Xexclude from comparison|
|Description||Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data||Converged and high performance database for device data, events, time series, document and graph|
|Primary database model||Relational DBMS|
Time Series DBMS
Time Series DBMS
|Secondary database models||Spatial DBMS|
|Developer||Apache Software Foundation and contributors||Sachin Sinha, BangDB|
|Current release||28.0.0, November 2023||BangDB 2.0, October 2021|
|License Commercial or Open Source||Open Source Apache license v2||Open Source BSD 3|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Java||C, C++|
|Server operating systems||Linux|
|Data scheme||yes schema-less columns are supported||schema-free|
|Typing predefined data types such as float or date||yes||yes: string, long, double, int, geospatial, stream, events|
|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|
|Secondary indexes||yes||yes secondary, composite, nested, reverse, geospatial|
|SQL Support of SQL||SQL for querying||SQL like support with command line tool|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
RESTful HTTP API
|Supported programming languages||Clojure|
|Server-side scripts Stored procedures||no||no|
|Triggers||no||yes, Notifications (with Streaming only)|
|Partitioning methods Methods for storing different data on different nodes||Sharding manual/auto, time-based||Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, via HDFS, S3 or other storage engines||selectable replication factor, Knob for CAP (enterprise version only)|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Tunable consistency, set CAP knob accordingly|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes, optimistic concurrency control|
|Durability Support for making data persistent||yes||yes, implements WAL (Write ahead log) as well|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes, run db with in-memory only mode|
|User concepts Access control||RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system||yes (enterprise version only)|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Improving Sensor Data and Telemetry Analysis
Imply Data gives Apache Druid schema auto-discover capability
Apache Druid Charms in Upper Echelons of OLAP Database ...
Real-Time Analytics Databases Emerge to Take On Big, Fast ...
Apache Druid 25.0 Delivers Multi-Stage Query Engine and ...
provided by Google News
Weekend Backend Engineer
Enterprise Account Executive
Share this page