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DBMS > EJDB vs. Impala vs. Redis

System Properties Comparison EJDB vs. Impala vs. Redis

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonImpala  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Analytic DBMS for HadoopIn-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.
Primary database modelDocument storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument storeDocument 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
Score0.18
Rank#262  Overall
#36  Document stores
Score15.07
Rank#36  Overall
#22  Relational DBMS
Score145.24
Rank#8  Overall
#1  Key-value stores
Websiteejdb.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlredis.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlredis.io/­documentation
DeveloperSoftmotionsClouderaSalvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release201220132009
Current release3.3.0, August 20195.0.6, September 2019
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2Open Source infoBSD 3-Clause, commercial license available
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 languageCC++C
Server operating systemsserver-lessLinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyespartial 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.nono
Secondary indexesnoyesyes infowith RediSearch module
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsin-process shared libraryJDBC
ODBC
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBCC
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 proceduresnoyes infouser defined functions and integration of map-reduceLua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes 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.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
EJDBImpalaRedis
Specific characteristicsRedis, benchmarked as the world's fastest database, reduces application complexity,...
» more
Competitive advantagesRedis is an in-memory database platform offering native support of wide range of...
» more
Typical application scenariosRedis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Licensing and pricing modelsThe licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more

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

Related products and services
3rd partiesRedis Labs is the open source home and the provider of enterprise-class Redis.
» more

ScaleGrid: Fully managed Redis-as-a-Service in the cloud.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EJDBImpalaRedis
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Recent citations in the news

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2 September 2016, Science Advances

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Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, Wired

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13 November 2019, Container Journal

Redis releases automatic cluster recovery for Kubernetes and RedisInsight GUI tool
13 November 2019, The Register

Redis Labs Delivers New Innovations to Radically Simplify the Complete Redis Lifecycle From Development to Operations
12 November 2019, Business Wire

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13 November 2019, InfoQ.com

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