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DBMS > Amazon Neptune vs. Databricks vs. Lovefield vs. OrientDB vs. SpaceTime

System Properties Comparison Amazon Neptune vs. Databricks vs. Lovefield vs. OrientDB vs. SpaceTime

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatabricks  Xexclude from comparisonLovefield  Xexclude from comparisonOrientDB  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Embeddable relational database for web apps written in pure JavaScriptMulti-model DBMS (Document, Graph, Key/Value)SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Spatial DBMS
Secondary database modelsRelational 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websiteaws.amazon.com/­neptunewww.databricks.comgoogle.github.io/­lovefieldorientdb.orgwww.mireo.com/­spacetime
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.orientdb.com/­docs/­last/­index.html
DeveloperAmazonDatabricksGoogleOrientDB LTD; CallidusCloud; SAPMireo
Initial release20172013201420102020
Current release2.1.12, February 20173.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java JDK (>= JDK 6)Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.noyesnonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnowith Databricks SQLSQL-like query language infovia JavaScript builder patternSQL-like query language, no joinsA subset of ANSI SQL is implemented
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Python
R
Scala
JavaScript.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoJava, Javascriptno
TriggersnoUsing read-only observersHooksno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingFixed-grid hypercubes
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.yesnoneMulti-source replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users and roles; record level security configurableyes
More information provided by the system vendor
Amazon NeptuneDatabricksLovefieldOrientDBSpaceTime
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon NeptuneDatabricksLovefieldOrientDBSpaceTime
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