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DBMS > AlaSQL vs. Amazon Neptune vs. Lovefield vs. OrigoDB vs. Splice Machine

System Properties Comparison AlaSQL vs. Amazon Neptune vs. Lovefield vs. OrigoDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonLovefield  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudEmbeddable relational database for web apps written in pure JavaScriptA fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS
Relational 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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitealasql.orgaws.amazon.com/­neptunegoogle.github.io/­lovefieldorigodb.comsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdorigodb.com/­docssplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffAmazonGoogleRobert Friberg et alSplice Machine
Initial release2014201720142009 infounder the name LiveDB2014
Current release2.1.12, February 20173.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache 2.0Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaScriptC#Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NET
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScript.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoyesyes infoJava
TriggersyesnoUsing read-only observersyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonehorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioning
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.noneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesyes
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLAmazon NeptuneLovefieldOrigoDBSplice Machine
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