DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Axibase vs. Blueflood vs. Google Cloud Bigtable vs. VelocityDB

System Properties Comparison Axibase vs. Blueflood vs. Google Cloud Bigtable vs. VelocityDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationScalable TimeSeries DBMS based on CassandraGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Wide column store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteaxibase.com/­docs/­atsd/­financeblueflood.iocloud.google.com/­bigtablevelocitydb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigtable/­docsvelocitydb.com/­UserGuide
DeveloperAxibase CorporationRackspaceGoogleVelocityDB Inc
Initial release2013201320152011
Current release155857.x
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#
Server operating systemsLinuxLinux
OS X
hostedAny that supports .NET
Data schemeyespredefined schemeschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesnoyes
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 indexesnononoyes
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
HTTP RESTgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.Net
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyesnonono
TriggersyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic single-row operationsACID
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.nonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Based on Windows Authentication

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AxibaseBluefloodGoogle Cloud BigtableVelocityDB
Recent citations in the news

The Ultimate ATV Test: Suzuki's King Quad 750 AXI Rugged Package vs. Alaska's Hunting Season
20 April 2021, Outdoor Life

provided by Google News

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

provided by Google News

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1 March 2024, Forbes

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here