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DBMS > Amazon DocumentDB vs. Derby vs. Elasticsearch vs. HEAVY.AI vs. Sphinx

System Properties Comparison Amazon DocumentDB vs. Derby vs. Elasticsearch vs. HEAVY.AI vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A 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 high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­documentdbdb.apache.org/­derbywww.elastic.co/­elasticsearchgithub.com/­heavyai/­heavydb
www.heavy.ai
sphinxsearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdb.apache.org/­derby/­manuals/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.heavy.aisphinxsearch.com/­docs
DeveloperApache Software FoundationElasticHEAVY.AI, Inc.Sphinx Technologies Inc.
Initial release20191997201020162001
Current release10.17.1.0, November 20238.6, January 20235.10, January 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoElastic LicenseOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++ and CUDAC++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnono
Secondary indexesyesyesyes infoAll search fields are automatically indexednoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesnono
Triggersnoyesyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoRound robinSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBElasticsearchHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Sphinx
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