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DBMS > Amazon Neptune vs. Drizzle vs. Postgres-XL vs. Snowflake vs. WakandaDB

System Properties Comparison Amazon Neptune vs. Drizzle vs. Postgres-XL vs. Snowflake vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDrizzle  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSnowflake  Xexclude from comparisonWakandaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCloud-based data warehousing service for structured and semi-structured dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSObject oriented DBMS
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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.postgres-xl.orgwww.snowflake.comwakanda.github.io
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.postgres-xl.org/­documentationdocs.snowflake.net/­manuals/­index.htmlwakanda.github.io/­doc
DeveloperAmazonDrizzle project, originally started by Brian AkerSnowflake Computing Inc.Wakanda SAS
Initial release201720082014 infosince 2012, originally named StormDB20142012
Current release7.2.4, September 201210 R1, October 20182.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoMozilla public licensecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++, JavaScript
Server operating systemshostedFreeBSD
Linux
OS X
Linux
macOS
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML type, but no XML query functionalityyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infodistributed, parallel query executionyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsyes
Triggersnono infohooks for callbacks inside the server can be used.yesno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningyesnone
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.Multi-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACIDACID
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.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationyes

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More resources
Amazon NeptuneDrizzlePostgres-XLSnowflakeWakandaDB
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