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DBMS > Badger vs. Datastax Enterprise vs. ITTIA vs. RisingWave vs. Yaacomo

System Properties Comparison Badger vs. Datastax Enterprise vs. ITTIA vs. RisingWave vs. Yaacomo

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonITTIA  Xexclude from comparisonRisingWave  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Edge Time Series DBMS with Real-Time Stream ProcessingA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeWide column storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisewww.ittia.comwww.risingwave.com/­databaseyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comdocs.risingwave.com/­docs/­current/­intro
DeveloperDGraph LabsDataStaxITTIA L.L.C.RisingWave LabsQ2WEB GmbH
Initial release20172011200720222009
Current release6.8, April 20208.71.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageGoJavaC and C++Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Windows
Docker
Linux
macOS
Android
Linux
Windows
Data schemeschema-freeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or datenoyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/IntervalStandard SQL-types and JSONyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyesyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesUDFs in Python or Java
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectDatabase file passwordsUsers and Rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerDatastax EnterpriseITTIARisingWaveYaacomo
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
BadgerDatastax EnterpriseITTIARisingWaveYaacomo
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