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DBMS > etcd vs. GeoSpock vs. IBM Db2 Event Store vs. Teradata

System Properties Comparison etcd vs. GeoSpock vs. IBM Db2 Event Store vs. Teradata

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTeradata  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleDistributed Event Store optimized for Internet of Things use casesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
geospock.comwww.ibm.com/­products/­db2-event-storewww.teradata.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storedocs.teradata.com
DeveloperGeoSpockIBMTeradata
Initial release20171984
Current release3.4, August 20192.0, September 20192.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, JavascriptC and C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux infoLinux, macOS, Windows for the developer additionhosted
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyes
Secondary indexesnotemporal, categoricalnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infothrough the embedded Spark runtimeyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
JSON over HTTP
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesyes infoUDFs, stored procedures, table functions in parallel
Triggersyes, watching key changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active-active shard replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.nonoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per tablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdGeoSpockIBM Db2 Event StoreTeradata
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