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DBMS > Amazon Neptune vs. Datastax Enterprise vs. LeanXcale vs. RisingWave

System Properties Comparison Amazon Neptune vs. Datastax Enterprise vs. LeanXcale vs. RisingWave

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonLeanXcale  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelGraph DBMS
RDF store
Wide column storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector 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
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datastax.com/­products/­datastax-enterprisewww.leanxcale.comwww.risingwave.com/­database
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datastax.comdocs.risingwave.com/­docs/­current/­intro
DeveloperAmazonDataStaxLeanXcaleRisingWave Labs
Initial release2017201120152022
Current release6.8, April 20201.2, September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaRust
Server operating systemshostedLinux
OS X
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSON
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 indexesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough Apache Derbyyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoUDFs in Python or Java
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"
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.configurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per objectUsers and Roles
More information provided by the system vendor
Amazon NeptuneDatastax EnterpriseLeanXcaleRisingWave
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Amazon NeptuneDatastax EnterpriseLeanXcaleRisingWave
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