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DBMS > Amazon Neptune vs. CrateDB vs. Riak TS vs. Vertica

System Properties Comparison Amazon Neptune vs. CrateDB vs. Riak TS vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCrateDB  Xexclude from comparisonRiak TS  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed Date Store based on LuceneRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelGraph DBMS
RDF store
Relational DBMS
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#113  Overall
#8  Graph DBMS
#5  RDF stores
Score0.92
Rank#180  Overall
#87  Relational DBMS
#11  Search engines
Score0.23
Rank#282  Overall
#22  Time Series DBMS
Score20.31
Rank#35  Overall
#21  Relational DBMS
Websiteaws.amazon.com/­neptunecrate.ioriak.com/­products/­riak-tswww.vertica.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescrate.io/­docswww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAmazonCrateBasho TechnologiesVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2017201320152005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Sourcecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlang
Server operating systemshostedAll OS with a Java 7 (and higher) VMLinux
OS X
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesnoyesrestrictedno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes, but no triggers and constraintsnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP API
Native Erlang Interface
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsJavaScript and Erlangyes
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasselectable replication factorselectable replication factorMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
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)rights management via user accountsnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon NeptuneCrateDBRiak TSVertica infoVertica Analytics Platform
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
Cost-based models and subscription-based models are available
» more

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More resources
Amazon NeptuneCrateDBRiak TSVertica infoVertica Analytics Platform
Recent citations in the news

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