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DBMS > Amazon Neptune vs. Drizzle vs. Splice Machine vs. TempoIQ

System Properties Comparison Amazon Neptune vs. Drizzle vs. Splice Machine vs. TempoIQ

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDrizzle  Xexclude from comparisonSplice Machine  Xexclude from comparisonTempoIQ infoformerly TempoDB  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.TempoIQ seems to be decommissioned. It will be removed 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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series 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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­neptunesplicemachine.comtempoiq.com (offline)
Technical documentationaws.amazon.com/­neptune/­developer-resourcessplicemachine.com/­how-it-works
DeveloperAmazonDrizzle project, originally started by Brian AkerSplice MachineTempoIQ
Initial release2017200820142012
Current release7.2.4, September 20123.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCJDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersnono infohooks for callbacks inside the server can be used.yesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesno
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, HTTPAccess rights for users, groups and roles according to SQL-standardsimple authentication-based access control

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More resources
Amazon NeptuneDrizzleSplice MachineTempoIQ infoformerly TempoDB
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