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DBMS > Elasticsearch vs. JaguarDB vs. Netezza vs. Redis vs. Snowflake

System Properties Comparison Elasticsearch vs. JaguarDB vs. Netezza vs. Redis vs. Snowflake

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRedis  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsIn-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.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelSearch engineKey-value storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMS
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
Score151.59
Rank#7  Overall
#1  Search engines
Score0.00
Rank#337  Overall
#60  Key-value stores
Score19.19
Rank#33  Overall
#20  Relational DBMS
Score150.05
Rank#8  Overall
#1  Key-value stores
Score2.73
Rank#101  Overall
#47  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.datajaguar.comwww.ibm.com/­analytics/­netezzaredis.iowww.snowflake.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.datajaguar.com/­support.phpredis.io/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperElasticDataJaguar, Inc.IBMSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsSnowflake Computing Inc.
Initial release20102015200020092014
Current release7.7.0, May 20202.9.4 September 20186.0.5, June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoGPL V3.0commercialOpen Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS, GCP and Azure that's powered by the creators of Elasticsearch.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 languageJavaC++ infothe server part. Clients available in other languagesC
Server operating systemsAll OS with a Java VMLinuxLinux infoincluded in applianceBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyespartial 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.nononoyes
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesnoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
OLE DB
proprietary protocol infoRESP - REdis Serialization ProtocolCLI Client
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyesLuauser defined functions
Triggersyes infoby using the 'percolation' featurenononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replicationMaster-slave replicationMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyesyes 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.Memcached and Redis integrationnoyesno
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptSimple password-based access control infoAccess control lists and SSL are available in the commercial versionUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
ElasticsearchJaguarDBNetezza infoAlso called PureData System for Analytics by IBMRedisSnowflake
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
SQL support, group by, order by, join
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
IoT data, time series data, AI data. Any type of numerical data.
» more
Key customers
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
Advertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
Free-trial license, per-node license, and subscription license.
» more

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

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More resources
ElasticsearchJaguarDBNetezza infoAlso called PureData System for Analytics by IBMRedisSnowflake
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