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DBMS > AlaSQL vs. Amazon Neptune vs. Apache Impala vs. Elasticsearch vs. Percona Server for MongoDB

System Properties Comparison AlaSQL vs. Amazon Neptune vs. Apache Impala vs. Elasticsearch vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonElasticsearch  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudAnalytic DBMS for HadoopA 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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSSearch engineDocument store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.52
Rank#254  Overall
#39  Document stores
Websitealasql.orgaws.amazon.com/­neptuneimpala.apache.orgwww.elastic.co/­elasticsearchwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperAndrey Gershun & Mathias R. WulffAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaElasticPercona
Initial release20142017201320102015
Current release4.1.0, June 20228.6, January 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2Open Source infoElastic LicenseOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++JavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxAll OS with a Java VMLinux
Data schemeschema-freeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnonoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Java API
RESTful HTTP/JSON API
proprietary protocol using JSON
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyesJavaScript
Triggersyesnonoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoMemcached and Redis integrationyes infovia In-Memory Engine
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and roles

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More resources
AlaSQLAmazon NeptuneApache ImpalaElasticsearchPercona Server for MongoDB
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