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DBMS > Elasticsearch vs. LeanXcale vs. LevelDB

System Properties Comparison Elasticsearch vs. LeanXcale vs. LevelDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonLeanXcale  Xexclude from comparisonLevelDB  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 metricA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelSearch engineKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.49
Rank#8  Overall
#1  Search engines
Score0.26
Rank#270  Overall
#45  Key-value stores
#124  Relational DBMS
Score3.62
Rank#90  Overall
#16  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.leanxcale.comgithub.com/­google/­leveldb
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­leveldb/­blob/­master/­doc/­index.md
DeveloperElasticLeanXcaleGoogle
Initial release201020152011
Current release7.8.0, June 20201.22, May 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Elastic LicensecommercialOpen Source infoBSD
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 Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache Derbyno
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 ConsistencyImmediate 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 infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlno
More information provided by the system vendor
ElasticsearchLeanXcaleLevelDB
Specific characteristicsElasticsearch is an open source search and analytics engine. As the heart of the...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesOpen source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosEnterprise search (search experiences for your workplace, apps, and websites), observability...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersThousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricsPublic as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
15 beta testers
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
annual fee covering license and support based on number of physical cores
» 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 partiesElastic Cloud: Try the official managed Elasticsearch.
» more

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

More resources
ElasticsearchLeanXcaleLevelDB
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