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DBMS > IBM Db2 Event Store vs. Qdrant vs. QuestDB

System Properties Comparison IBM Db2 Event Store vs. Qdrant vs. QuestDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonQdrant  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA high-performance vector database with neural network or semantic-based matchingA high performance open source SQL database for time series data
Primary database modelEvent Store
Time Series DBMS
Vector DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storegithub.com/­qdrant/­qdrant
qdrant.tech
questdb.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeqdrant.tech/­documentationquestdb.io/­docs
DeveloperIBMQdrantQuestDB Technology Inc
Initial release201720212014
Current release2.0
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++RustJava (Zero-GC), C++, Rust
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionDocker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
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 indexesnoyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoSQL with time-series extensions
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationCollection-level replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
IBM Db2 Event StoreQdrantQuestDB
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
IBM Db2 Event StoreQdrantQuestDB
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