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DBMS > Amazon Neptune vs. GeoSpock vs. HarperDB vs. Percona Server for MongoDB vs. Rockset

System Properties Comparison Amazon Neptune vs. GeoSpock vs. HarperDB vs. Percona Server for MongoDB vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRockset  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudSpatial and temporal data processing engine for extreme data scaleHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeDocument storeDocument store
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.55
Rank#243  Overall
#38  Document stores
Score0.50
Rank#250  Overall
#39  Document stores
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­neptunegeospock.comwww.harperdb.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbrockset.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.harperdb.io/­docsdocs.percona.com/­percona-distribution-for-mongodbdocs.rockset.com
DeveloperAmazonGeoSpockHarperDBPerconaRockset
Initial release2017201720152019
Current release2.0, September 20193.1, August 20213.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptNode.jsC++C++
Server operating systemshostedhostedLinux
OS X
Linuxhosted
Data schemeschema-freeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesnotemporal, categoricalyesyesall fields are automatically indexed
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like data manipulation statementsnoRead-only SQL queries, including JOINs
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
proprietary protocol using JSONHTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1JavaScriptno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingA table resides as a whole on one (or more) nodes in a clusterShardingAutomatic sharding
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.yes infothe nodes on which a table resides can be definedSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tableAccess rights for users and rolesAccess rights for users and rolesAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon NeptuneGeoSpockHarperDBPercona Server for MongoDBRockset
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