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DBMS > Amazon Neptune vs. Datomic vs. dBASE vs. JSqlDb vs. Splice Machine

System Properties Comparison Amazon Neptune vs. Datomic vs. dBASE vs. JSqlDb vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisondBASE  Xexclude from comparisonJSqlDb  Xexclude from comparisonSplice Machine  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.JavaScript Query Language Database, stores JavaScript objects and primitivesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comwww.dbase.comjsqldb.org (offline)splicemachine.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comwww.dbase.com/­support/­knowledgebasesplicemachine.com/­how-it-works
DeveloperAmazonCognitectAsthon TateKonrad von BackstromSplice Machine
Initial release20172012197920182014
Current release1.0.7180, July 2024dBASE 2019, 20190.8, December 20183.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava
Server operating systemshostedAll OS with a Java VMDOS infodBase Classic
Windows infodBase Pro
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APInone infoThe IDE can access other DBMS or ODBC-sources.JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
dBase proprietary IDEJavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsno infoThe IDE can access stored procedures in other database systems.functions in JavaScriptyes infoJava
TriggersnoBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnonenoneShared 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.none infoBut extensive use of caching in the application peersnonenoneMulti-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 systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
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 rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon NeptuneDatomicdBASEJSqlDbSplice Machine
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