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DBMS > Google Cloud Bigtable vs. Immudb vs. Informix vs. OpenTSDB

System Properties Comparison Google Cloud Bigtable vs. Immudb vs. Informix vs. OpenTSDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonImmudb  Xexclude from comparisonInformix  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataScalable Time Series DBMS based on HBase
Primary database modelKey-value store
Wide column store
Key-value storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBTime Series DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.31
Rank#295  Overall
#42  Key-value stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websitecloud.google.com/­bigtablegithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­informixopentsdb.net
Technical documentationcloud.google.com/­bigtable/­docsdocs.immudb.ioinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
opentsdb.net/­docs/­build/­html/­index.html
DeveloperGoogleCodenotaryIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.currently maintained by Yahoo and other contributors
Initial release2015202019842011
Current release1.2.3, April 202214.10.FC5, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++ and JavaJava
Server operating systemshostedBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infoSince Version 12.10 support for JSON/BSON datatypesnumeric data for metrics, strings for tags
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
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like syntaxyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC protocol
PostgreSQL wire protocol
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP API
Telnet API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authentication, authorization, and auditing controlsno

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More resources
Google Cloud BigtableImmudbInformixOpenTSDB
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