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DBMS > etcd vs. Hawkular Metrics vs. Interbase vs. Tarantool

System Properties Comparison etcd vs. Hawkular Metrics vs. Interbase vs. Tarantool

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInterbase  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA distributed reliable key-value storeHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Light-weight proven RDBMS infooriginally from BorlandIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value storeTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgwww.embarcadero.com/­products/­interbasewww.tarantool.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.embarcadero.com/­products/­interbasewww.tarantool.io/­en/­doc
DeveloperCommunity supported by Red HatEmbarcaderoVK
Initial release201419842008
Current release3.4, August 2019InterBase 2020, December 20192.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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.
Implementation languageGoJavaCC and C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
BSD
Linux
macOS
Data schemeschema-freeschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenoyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonono infoexport as XML data possibleno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyesFull-featured ANSI SQL support
APIs and other access methodsgRPC
JSON over HTTP
HTTP RESTADO.NET
JDBC
ODBC
Open binary protocol
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languageLua, C and SQL stored procedures
Triggersyes, watching key changesyes infovia Hawkular Alertingyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on CassandraInterbase Change ViewsAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
etcdHawkular MetricsInterbaseTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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