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DBMS > Amazon Neptune vs. Dolt vs. IBM Db2 Event Store vs. TerarkDB

System Properties Comparison Amazon Neptune vs. Dolt vs. IBM Db2 Event Store vs. TerarkDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDolt  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA MySQL compatible DBMS with Git-like versioning of data and schemaDistributed Event Store optimized for Internet of Things use casesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Relational DBMSEvent Store
Time Series DBMS
Key-value store
Secondary database modelsDocument store
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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­neptunegithub.com/­dolthub/­dolt
www.dolthub.com
www.ibm.com/­products/­db2-event-storegithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.dolthub.comwww.ibm.com/­docs/­en/­db2-event-storebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonDoltHub IncIBMByteDance, originally Terark
Initial release2017201820172016
Current release2.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C++
Server operating systemshostedLinux
macOS
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesnono
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
CLI Client
HTTP REST
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
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
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
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.Active-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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 startupfine grained access rights according to SQL-standardno

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More resources
Amazon NeptuneDoltIBM Db2 Event StoreTerarkDB
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