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DBMS > AlaSQL vs. Amazon Neptune vs. Databricks vs. GeoSpock

System Properties Comparison AlaSQL vs. Amazon Neptune vs. Databricks vs. GeoSpock

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, 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.Spatial and temporal data processing engine for extreme data scale
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document store
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitealasql.orgaws.amazon.com/­neptunewww.databricks.comgeospock.com
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesdocs.databricks.com
DeveloperAndrey Gershun & Mathias R. WulffAmazonDatabricksGeoSpock
Initial release201420172013
Current release2.0, September 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava, Javascript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedhosted
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyesyes
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.nonoyesno
Secondary indexesnonoyestemporal, categorical
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nowith Databricks SQLANSI SQL for query only (using Presto)
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Python
R
Scala
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per table
More information provided by the system vendor
AlaSQLAmazon NeptuneDatabricksGeoSpock
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AlaSQLAmazon NeptuneDatabricksGeoSpock
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