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DBMS > Databend vs. EventStoreDB vs. Informix

System Properties Comparison Databend vs. EventStoreDB vs. Informix

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonEventStoreDB  Xexclude from comparisonInformix  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityIndustrial-strength, open-source database solution built from the ground up for event sourcing.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelRelational DBMSEvent StoreRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.eventstore.comwww.ibm.com/­products/­informix
Technical documentationdocs.databend.comdevelopers.eventstore.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperDatabend LabsEvent Store LimitedIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release202120121984
Current release1.0.59, April 202321.2, February 202114.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC, C++ and Java
Server operating systemshosted
Linux
macOS
Linux
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers with fine-grained authentication, authorization, and auditing controls

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More resources
DatabendEventStoreDBInformix
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