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DBMS > Amazon Neptune vs. Dolt vs. Hazelcast vs. LeanXcale vs. Warp 10

System Properties Comparison Amazon Neptune vs. Dolt vs. Hazelcast vs. LeanXcale vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDolt  Xexclude from comparisonHazelcast  Xexclude from comparisonLeanXcale  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA MySQL compatible DBMS with Git-like versioning of data and schemaA widely adopted in-memory data gridA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­neptunegithub.com/­dolthub/­dolt
www.dolthub.com
hazelcast.comwww.leanxcale.comwww.warp10.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.dolthub.comhazelcast.org/­imdg/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAmazonDoltHub IncHazelcastLeanXcaleSenX
Initial release20172018200820152015
Current release5.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava
Server operating systemshostedLinux
macOS
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesSQL-like query languageyes infothrough Apache Derbyno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
HTTP REST
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
Java
Scala
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyes infoEvent Listeners, Executor Servicesyes infoWarpScript
Triggersnoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on HBase
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.A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infoReplicated Mapselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
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)Only one user is configurable, and must be specified in the config file at startupRole-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon NeptuneDoltHazelcastLeanXcaleWarp 10
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