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DBMS > Amazon Neptune vs. Apache Drill vs. Infobright vs. Kinetica vs. SurrealDB

System Properties Comparison Amazon Neptune vs. Apache Drill vs. Infobright vs. Kinetica vs. SurrealDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonInfobright  Xexclude from comparisonKinetica  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendFully vectorized database across both GPUs and CPUsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­neptunedrill.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.kinetica.comsurrealdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsdocs.kinetica.comsurrealdb.com/­docs
DeveloperAmazonApache Software FoundationIgnite Technologies Inc.; formerly InfoBright Inc.KineticaSurrealDB Ltd
Initial release20172012200520122022
Current release1.20.3, January 20237.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source
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 languageCC, C++Rust
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesschema-free
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.nononono
Secondary indexesnonono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
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.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourcefine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users and roles on table levelyes, based on authentication and database rules

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More resources
Amazon NeptuneApache DrillInfobrightKineticaSurrealDB
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