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DBMS > Amazon Neptune vs. Ehcache vs. Google Cloud Bigtable vs. NSDb vs. SQream DB

System Properties Comparison Amazon Neptune vs. Ehcache vs. Google Cloud Bigtable vs. NSDb vs. SQream DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA widely adopted Java cache with tiered storage optionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
Wide column store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteaws.amazon.com/­neptunewww.ehcache.orgcloud.google.com/­bigtablensdb.iosqream.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.ehcache.org/­documentationcloud.google.com/­bigtable/­docsnsdb.io/­Architecturedocs.sqream.com
DeveloperAmazonTerracotta Inc, owned by Software AGGoogleSQream Technologies
Initial release20172009201520172017
Current release3.10.0, March 20222022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes: int, bigint, decimal, stringyes, ANSI Standard SQL Types
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
Secondary indexesnononoall fields are automatically indexedno
SQL infoSupport of SQLnononoSQL-like query languageyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
.Net
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononouser defined functions in Python
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingShardinghorizontal and vertical 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.yes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing a tiered cache-storage approachyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon NeptuneEhcacheGoogle Cloud BigtableNSDbSQream DB
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