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DBMS > Elasticsearch vs. Impala vs. MarkLogic

System Properties Comparison Elasticsearch vs. Impala vs. MarkLogic

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonImpala  Xexclude from comparisonMarkLogic  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 metricAnalytic DBMS for HadoopOperational and transactional Enterprise NoSQL database
Primary database modelSearch engineRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score150.17
Rank#7  Overall
#1  Search engines
Score14.57
Rank#37  Overall
#23  Relational DBMS
Score13.06
Rank#38  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websitewww.elastic.co/­products/­elasticsearchwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.marklogic.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.marklogic.com
DeveloperElasticClouderaMarkLogic Corp.
Initial release201020132001
Current release7.3.0, August 20193.3.0, August 20199.0, 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicenseOpen Source infoApache Version 2commercial inforestricted free version is 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.
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++C++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free infoSchema can be enforced
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.nonoyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes infoSQL92
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Community Contributed Clients
All languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScript
Triggersyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transaction
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 integrationnoyes, with Range Indexes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control at the document and subdocument levels
More information provided by the system vendor
ElasticsearchImpalaMarkLogic
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenarios
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customers
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» 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
ElasticsearchImpalaMarkLogic
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Recent citations in the news

Review: Elasticsearch 7 soars with SQL, search optimizations
2 October 2019, InfoWorld

AWS faces Elasticsearch lawsuit for trademark infringement
1 October 2019, TechTarget

Elastic Releases Elastic Stack 7.4.0
1 October 2019, Yahoo Finance

Amazon Sued for Allegedly Infringing Elasticsearch Trademarks
30 September 2019, Bloomberg Law

Open Source Search Firm Accuses Amazon of Trademark Infringement | The Recorder
30 September 2019, Law.com

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 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

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

provided by Google News

Schiphol Airport chooses software firm MarkLogic in digital push
25 September 2019, Airport Technology

Schiphol Airport Selects MarkLogic for Operational Flight Database
24 September 2019, Business Wire

Q&A: Brigham Bechtel talks big data and communications
26 September 2019, Army Technology

HITS Fall: Effective Data Governance is Crucial for Entertainment Companies, MarkLogic Says
11 October 2019, Media & Entertainment Services Alliance M&E Daily Newsletter

More Financial Services Firms to Invest in Data Management to Improve Investment Decisions
8 October 2019, Business Wire

provided by Google News

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