DBMS > Databend vs. Hawkular Metrics vs. IBM Db2 Event Store vs. Transwarp StellarDB

System Properties Comparison Databend vs. Hawkular Metrics vs. IBM Db2 Event Store vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
Name	Databend  Xexclude from comparison	Hawkular Metrics  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	Transwarp StellarDB  Xexclude from comparison
Description	An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity	Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.	Distributed Event Store optimized for Internet of Things use cases	A distributed graph DBMS built for enterprise-level graph applications
Primary database model	Relational DBMS	Time Series DBMS	Event Store Time Series DBMS	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.34 Rank #283   Overall #130   Relational DBMS	Score 0.08 Rank #366   Overall #39   Time Series DBMS	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.07 Rank #371   Overall #39   Graph DBMS
Website	github.com/­datafuselabs/­databend www.databend.com	www.hawkular.org	www.ibm.com/­products/­db2-event-store	www.transwarp.cn/­en/­product/­stellardb
Technical documentation	docs.databend.com	www.hawkular.org/­hawkular-metrics/­docs/­user-guide	www.ibm.com/­docs/­en/­db2-event-store
Developer	Databend Labs	Community supported by Red Hat	IBM	Transwarp
Initial release	2021	2014	2017
Current release	1.0.59, April 2023		2.0
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache 2.0	commercial free developer edition available	commercial
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Rust	Java	C and C++
Server operating systems	hosted Linux macOS	Linux OS X Windows	Linux Linux, macOS, Windows for the developer addition
Data scheme	yes	schema-free	yes
Typing predefined data types such as float or date	yes	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	no	no	no
SQL Support of SQL	yes	no	yes through the embedded Spark runtime	SQL-like query language
APIs and other access methods	CLI Client JDBC RESTful HTTP API	HTTP REST	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	OpenCypher
Supported programming languages	Go Java JavaScript (Node.js) Python Rust	Go Java Python Ruby	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic
Server-side scripts Stored procedures	no	no	yes
Triggers	no	yes via Hawkular Alerting	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding based on Cassandra	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	none	selectable replication factor based on Cassandra	Active-active shard replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra	Eventual Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	No - written data is immutable	yes
Durability Support for making data persistent	yes	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	yes
User concepts Access control	Users with fine-grained authorization concept, user roles	no	fine grained access rights according to SQL-standard	yes
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More resources
	Databend	Hawkular Metrics	IBM Db2 Event Store	Transwarp StellarDB
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