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DBMS > HBase vs. Redis vs. Sqrrl

System Properties Comparison HBase vs. Redis vs. Sqrrl

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonRedis  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelWide column storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.11
Rank#22  Overall
#2  Wide column stores
Score152.87
Rank#7  Overall
#1  Key-value stores
Websitehbase.apache.orgredis.iosqrrl.com
Technical documentationhbase.apache.orgredis.io/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsAmazon infooriginally Sqrrl Data, Inc.
Initial release200820092012
Current release2.2.0, June 20196.0.6, July 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJavaCJava
Server operating systemsLinux
Unix
Windows infousing Cygwin
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
Data schemeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nono
Secondary indexesnoyes infowith RediSearch moduleyes
SQL infoSupport of SQLnonono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
proprietary protocol infoRESP - REdis Serialization ProtocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaLuano
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)Optimistic locking, atomic execution of commands blocks and scriptsAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACSimple password-based access control infoAccess control lists and SSL are available in the commercial versionCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Recent citations in the news

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