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DBMS > Amazon DocumentDB vs. Badger vs. IBM Db2 Event Store vs. JanusGraph vs. QuestDB

System Properties Comparison Amazon DocumentDB vs. Badger vs. IBM Db2 Event Store vs. JanusGraph vs. QuestDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBadger  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Event Store optimized for Internet of Things use casesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A high performance open source SQL database for time series data
Primary database modelDocument storeKey-value storeEvent Store
Time Series DBMS
Graph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­db2-event-storejanusgraph.orgquestdb.io
Technical documentationaws.amazon.com/­documentdb/­resourcesgodoc.org/­github.com/­dgraph-io/­badgerwww.ibm.com/­docs/­en/­db2-event-storedocs.janusgraph.orgquestdb.io/­docs
DeveloperDGraph LabsIBMLinux Foundation; originally developed as Titan by AureliusQuestDB Technology Inc
Initial release20192017201720172014
Current release2.00.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++JavaJava (Zero-GC), C++, Rust
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Unix
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenoSQL with time-series extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
GoC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Clojure
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoyesyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneActive-active shard replicationyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Amazon DocumentDBBadgerIBM Db2 Event StoreJanusGraph infosuccessor of TitanQuestDB
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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More resources
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