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DBMS > IBM Db2 Event Store vs. Netezza vs. QuestDB vs. YDB

System Properties Comparison IBM Db2 Event Store vs. Netezza vs. QuestDB vs. YDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesData warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series dataA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­netezzaquestdb.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storequestdb.io/­docsydb.tech/­en/­docs
DeveloperIBMIBMQuestDB Technology IncYandex
Initial release2017200020142019
Current release2.0
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java (Zero-GC), C++, Rust
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux infoincluded in applianceLinux
macOS
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line ProtocolFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesSQL with time-series extensionsSQL-like query language (YQL)
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationSource-replica replicationSource-replica replication with eventual consistencyActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights defined for Yandex Cloud users
More information provided by the system vendor
IBM Db2 Event StoreNetezza infoAlso called PureData System for Analytics by IBMQuestDBYDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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