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DBMS > Elasticsearch vs. GeoSpock vs. Google Cloud Datastore vs. LeanXcale

System Properties Comparison Elasticsearch vs. GeoSpock vs. Google Cloud Datastore vs. LeanXcale

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLeanXcale  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 metricSpatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelSearch engineRelational DBMSDocument storeKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score4.47
Rank#76  Overall
#12  Document stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitewww.elastic.co/­elasticsearchgeospock.comcloud.google.com/­datastorewww.leanxcale.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­datastore/­docs
DeveloperElasticGeoSpockGoogleLeanXcale
Initial release201020082015
Current release8.6, January 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Javascript
Server operating systemsAll OS with a Java VMhostedhosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details here
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 indexedtemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)SQL-like query language (GQL)yes infothrough Apache Derby
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBCgRPC (using protocol buffers) 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
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Scala
Server-side scripts infoStored proceduresyesnousing Google App Engine
Triggersyes infoby using the 'percolation' featurenoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infousing Google Cloud Dataflowno
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 or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnonoyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
ElasticsearchGeoSpockGoogle Cloud DatastoreLeanXcale
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