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DBMS > Elasticsearch vs. EsgynDB vs. Impala

System Properties Comparison Elasticsearch vs. EsgynDB vs. Impala

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonImpala  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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic DBMS for Hadoop
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score149.27
Rank#7  Overall
#1  Search engines
Score0.16
Rank#264  Overall
#123  Relational DBMS
Score14.74
Rank#37  Overall
#23  Relational DBMS
Websitewww.elastic.co/­products/­elasticsearchesgyn.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlesgyn.com/­developerswww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperElasticEsgynCloudera
Initial release201020152013
Current release7.3.0, August 20193.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialOpen Source infoApache Version 2
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.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageJavaC++, JavaC++
Server operating systemsAll OS with a Java VMLinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
All languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes infouser defined functions and integration of map-reduce
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication between multi datacentersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesyes infoquery execution via MapReduce
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, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
ElasticsearchEsgynDBImpala
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Capabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
EsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenarios
» more
Ideally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customers
» more
EsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
EsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesElastic Cloud: Try the official hosted Elasticsearch.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ElasticsearchEsgynDBImpala
DB-Engines blog posts

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Recent citations in the news

The Warehouse Chooses Elastic’s Elasticsearch Service to Boost Consumer Loyalty
18 September 2019, Yahoo Finance

The Warehouse rolls out Elasticsearch to power its returns policy
18 September 2019, Reseller News

Elastic releases Elasticsearch Service on Azure
5 September 2019, Help Net Security

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Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

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

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

provided by Google News

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