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DBMS > CrateDB vs. etcd vs. IBM Db2 Event Store vs. Newts

System Properties Comparison CrateDB vs. etcd vs. IBM Db2 Event Store vs. Newts

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionDistributed Database based on LuceneA distributed reliable key-value storeDistributed Event Store optimized for Internet of Things use casesTime Series DBMS based on Cassandra
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value storeEvent Store
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score7.64
Rank#54  Overall
#5  Key-value stores
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websitecratedb.cometcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2-event-storeopennms.github.io/­newts
Technical documentationcratedb.com/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storegithub.com/­OpenNMS/­newts/­wiki
DeveloperCrateIBMOpenNMS Group
Initial release201320172014
Current release3.4, August 20192.0
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaGoC and C++Java
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportFreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes infothrough the embedded Spark runtimeno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JSON over HTTP
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyesno
Triggersnoyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-active shard replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynonono
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlrights management via user accountsnofine grained access rights according to SQL-standardno
More information provided by the system vendor
CrateDBetcdIBM Db2 Event StoreNewts
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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CrateDBetcdIBM Db2 Event StoreNewts
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