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DBMS > etcd vs. eXtremeDB vs. Google Cloud Bigtable vs. Kdb vs. QuestDB

System Properties Comparison etcd vs. eXtremeDB vs. Google Cloud Bigtable vs. Kdb vs. QuestDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance Time Series DBMSA high performance open source SQL database for time series data
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Time Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comcloud.google.com/­bigtablekx.comquestdb.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmcloud.google.com/­bigtable/­docscode.kx.comquestdb.io/­docs
DeveloperMcObjectGoogleKx Systems, a division of First Derivatives plcQuestDB Technology Inc
Initial release200120152000 infokdb was released 2000, kdb+ in 20032014
Current release3.4, August 20198.2, 20213.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++qJava (Zero-GC), C++, Rust
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nono infosupport of XML interfaces availablenoyesno
Secondary indexesnoyesnoyes infotable attribute 'grouped'no
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoSQL-like query language (q)SQL with time-series extensions
APIs and other access methodsgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesnouser defined functionsno
Triggersyes, watching key changesyes infoby defining eventsnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardinghorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.noyesnoyesyes infothrough memory mapped files
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accounts
More information provided by the system vendor
etcdeXtremeDBGoogle Cloud BigtableKdbQuestDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
upon request
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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