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DBMS > IBM Db2 Event Store vs. Ignite vs. Microsoft Access vs. QuestDB vs. Redis

System Properties Comparison IBM Db2 Event Store vs. Ignite vs. Microsoft Access vs. QuestDB vs. Redis

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A high performance open source SQL database for time series dataPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelEvent Store
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSTime Series DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsRelational DBMSDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Websitewww.ibm.com/­products/­db2-event-storeignite.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessquestdb.ioredis.com
redis.io
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeapacheignite.readme.io/­docsdeveloper.microsoft.com/­en-us/­accessquestdb.io/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperIBMApache Software FoundationMicrosoftQuestDB Technology IncRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release20172015199220142009
Current release2.0Apache Ignite 2.61902 (16.0.11328.20222), March 20197.2.4, January 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageC and C++C++, Java, .NetC++Java (Zero-GC), C++, RustC
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.noyesnono
Secondary indexesnoyesyesnoyes infowith RediSearch module
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardSQL with time-series extensionswith RediSQL module
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-enginenoLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnoyes (cache interceptors and events)yes infosince Access 2010 using the ACE-enginenopublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning (by timestamps)Sharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyes (replicated cache)noneSource-replica replication with eventual consistencyMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACID for single-table writesAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infobut no files for transaction loggingyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Access Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
More information provided by the system vendor
IBM Db2 Event StoreIgniteMicrosoft AccessQuestDBRedis
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...
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Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
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Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
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