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DBMS > Amazon Neptune vs. DolphinDB vs. FeatureBase vs. InterSystems Caché vs. QuestDB

System Properties Comparison Amazon Neptune vs. DolphinDB vs. FeatureBase vs. InterSystems Caché vs. QuestDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDolphinDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQuestDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A multi-model DBMS and application serverA high performance open source SQL database for time series data
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.dolphindb.comwww.featurebase.comwww.intersystems.com/­products/­cachequestdb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.dolphindb.cn/­en/­help200/­index.htmldocs.featurebase.comdocs.intersystems.comquestdb.io/­docs
DeveloperAmazonDolphinDB, IncMolecula and Pilosa Open Source ContributorsInterSystemsQuestDB Technology Inc
Initial release20172018201719972014
Current releasev2.00.4, January 20222022, May 20222018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava (Zero-GC), C++, Rust
Server operating systemshostedLinux
Windows
Linux
macOS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesdepending on used data modelyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLnoSQL-like query languageSQL queriesyesSQL with time-series extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
JDBC
Kafka Connector
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
Python
C#
C++
Java
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnonehorizontal partitioning (by timestamps)
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.yesyesSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyesACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, GroupsAccess rights for users, groups and roles
More information provided by the system vendor
Amazon NeptuneDolphinDBFeatureBaseInterSystems CachéQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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