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DBMS > ObjectBox vs. Redis vs. Sadas Engine vs. Tkrzw

System Properties Comparison ObjectBox vs. Redis vs. Sadas Engine vs. Tkrzw

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonRedis  Xexclude from comparisonSadas Engine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobilePopular 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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelObject oriented DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSKey-value store
Secondary database modelsTime Series 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
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteobjectbox.ioredis.com
redis.io
www.sadasengine.comdbmx.net/­tkrzw
Technical documentationdocs.objectbox.iodocs.redis.com/­latest/­index.html
redis.io/­docs
www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperObjectBox LimitedRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.SADAS s.r.l.Mikio Hirabayashi
Initial release2017200920062020
Current release7.2.4, January 20248.00.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercial infofree trial version availableOpen Source infoApache Version 2.0
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.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageC and C++CC++C++
Server operating systemsAndroid
iOS
Linux
macOS
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
AIX
Linux
Windows
Linux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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.nononono
Secondary indexesyesyes infowith RediSearch moduleyes
SQL infoSupport of SQLnowith RediSQL moduleyesno
APIs and other access methodsProprietary native APIproprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoLua; Redis Functions coming in Redis 7 (slides and Github)nono
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGearsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough RedisGearsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'yes infousing specific database classes
User concepts infoAccess controlyesAccess 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
Access rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
ObjectBoxRedisSadas EngineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
News

The first On-Device Vector Database: ObjectBox 4.0
16 May 2024

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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ObjectBoxRedisSadas EngineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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