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DBMS > GridGain vs. Qdrant vs. Redis

System Properties Comparison GridGain vs. Qdrant vs. Redis

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonQdrant  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA high-performance vector database with neural network or semantic-based matchingPopular 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 modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Vector DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument 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
Score1.32
Rank#151  Overall
#1  Columnar
#25  Key-value stores
#2  Object oriented DBMS
#68  Relational DBMS
Score2.23
Rank#106  Overall
#8  Vector DBMS
Score154.11
Rank#7  Overall
#1  Key-value stores
Websitewww.gridgain.comgithub.com/­qdrant/­qdrant
qdrant.tech
redis.com
redis.io
Technical documentationwww.gridgain.com/­docs/­index.htmlqdrant.tech/­documentationdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperGridGain Systems, Inc.QdrantRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release200720212009
Current releaseGridGain 8.5.17.2.5, May 2024
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache Version 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
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 languageJava, C++, .Net, Python, REST, SQLRustC
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Docker
Linux
macOS
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanpartial 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.yesnono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes infowith RediSearch module
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnowith RediSQL module
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
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 proceduresyes (compute grid and cache interceptors can be used instead)Lua; Redis Functions coming in Redis 7 (slides and Github)
Triggersyes (cache interceptors and events)publish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Collection-level replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nothrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable 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 integritynono
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 datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes 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
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Key-based authenticationAccess 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

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GridGainQdrantRedis
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