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DBMS > Amazon DocumentDB vs. AnzoGraph DB vs. IBM Db2 Event Store vs. LevelDB

System Properties Comparison Amazon DocumentDB vs. AnzoGraph DB vs. IBM Db2 Event Store vs. LevelDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDistributed Event Store optimized for Internet of Things use casesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelDocument storeGraph DBMS
RDF store
Event Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websiteaws.amazon.com/­documentdbcambridgesemantics.com/­anzographwww.ibm.com/­products/­db2-event-storegithub.com/­google/­leveldb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCambridge SemanticsIBMGoogle
Initial release2019201820172011
Current release2.3, January 20212.01.23, February 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial infofree developer edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++
Server operating systemshostedLinuxLinux infoLinux, macOS, Windows for the developer additionIllumos
Linux
OS X
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesnonono
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.yes infothrough the embedded Spark runtimeno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication in MPP-ClusterActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infowith automatic compression on writes
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 rolesAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBAnzoGraph DBIBM Db2 Event StoreLevelDB
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