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DBMS > Amazon Neptune vs. GeoMesa vs. LeanXcale vs. Sphinx

System Properties Comparison Amazon Neptune vs. GeoMesa vs. LeanXcale vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGeoMesa  Xexclude from comparisonLeanXcale  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Spatial DBMSKey-value store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­neptunewww.geomesa.orgwww.leanxcale.comsphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.geomesa.org/­documentation/­stable/­user/­index.htmlsphinxsearch.com/­docs
DeveloperAmazonCCRi and othersLeanXcaleSphinx Technologies Inc.
Initial release2017201420152001
Current release5.0.0, May 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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 indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infothrough Apache DerbySQL-like query language (SphinxQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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.depending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes 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.depending on storage layeryes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infodepending on the DBMS used for storageno

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More resources
Amazon NeptuneGeoMesaLeanXcaleSphinx
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