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DBMS > Amazon Neptune vs. Greenplum vs. Sphinx vs. XTDB

System Properties Comparison Amazon Neptune vs. Greenplum vs. Sphinx vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGreenplum  Xexclude from comparisonSphinx  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Open source search engine for searching in data from different sources, e.g. relational databasesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Relational DBMSSearch engineDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websiteaws.amazon.com/­neptunegreenplum.orgsphinxsearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.greenplum.orgsphinxsearch.com/­docswww.xtdb.com/­docs
DeveloperAmazonPivotal Software Inc.Sphinx Technologies Inc.Juxt Ltd.
Initial release2017200520012019
Current release7.0.0, September 20233.5.1, February 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Clojure
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, extensible-data-notation format
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.noyes infosince Version 4.2no
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)limited SQL, making use of Apache Calcite
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocolHTTP REST
JDBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
Java
Perl
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
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.Source-replica replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Amazon NeptuneGreenplumSphinxXTDB infoformerly named Crux
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4 February 2013, Paul Andlinger

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