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DBMS > Amazon Neptune vs. etcd vs. Greenplum vs. GridGain vs. SAP SQL Anywhere

System Properties Comparison Amazon Neptune vs. etcd vs. Greenplum vs. GridGain vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonetcd  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed reliable key-value storeAnalytic 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.GridGain is an in-memory computing platform, built on Apache IgniteRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­neptuneetcd.io
github.com/­etcd-io/­etcd
greenplum.orgwww.gridgain.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.greenplum.orgwww.gridgain.com/­docs/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonPivotal Software Inc.GridGain Systems, Inc.SAP infoformerly Sybase
Initial release2017200520071992
Current release3.4, August 20197.0.0, September 2023GridGain 8.5.117, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
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 languageGoJava, C++, .Net
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
LinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infosince Version 4.2yesyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC
JSON over HTTP
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes (compute grid and cache interceptors can be used instead)yes, in C/C++, Java, .Net or Perl
Triggersnoyes, watching key changesyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
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.Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyes (replicated cache)Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneetcdGreenplumGridGainSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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