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features
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support

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Description

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Description

Voldemort does not function as a relational database, as it does not aim to fulfill arbitrary relations while adhering to ACID properties. It also does not operate as an object database that seeks to seamlessly map object reference structures. Additionally, it does not introduce a novel abstraction like document orientation. Essentially, it serves as a large, distributed, durable, and fault-tolerant hash table. For applications leveraging an Object-Relational (O/R) mapper such as ActiveRecord or Hibernate, this can lead to improved horizontal scalability and significantly enhanced availability, albeit with a considerable trade-off in convenience. In the context of extensive applications facing the demands of internet-level scalability, a system is often comprised of multiple functionally divided services or APIs, which may handle storage across various data centers with their own horizontally partitioned storage systems. In these scenarios, the possibility of performing arbitrary joins within the database becomes impractical, as not all data can be accessed within a single database instance, making data management even more complex. Consequently, developers must adapt their strategies to navigate these limitations effectively.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Spark Yes 
Auris Yes 
Google Cloud BigQuery Yes 
Google Cloud Dataflow Yes 
Google Cloud IoT Core Yes 
Google Cloud Platform Yes 
Google VPC Service Controls Yes 
Hadoop Yes 
Heroic Yes 
InfluxDB Yes 
Infometry Google Connectors Yes 
IntelliPay Yes 
JanusGraph Yes 
Layer Yes 
OpenTSDB Yes 
Peekdata Yes 
Privacera Yes 
TIMi Yes 
ThoughtSpot Yes 
YepCode Yes 

Integrations

Apache Spark No 
Auris No 
Google Cloud BigQuery No 
Google Cloud Dataflow No 
Google Cloud IoT Core No 
Google Cloud Platform No 
Google VPC Service Controls No 
Hadoop No 
Heroic No 
InfluxDB No 
Infometry Google Connectors No 
IntelliPay No 
JanusGraph No 
Layer No 
OpenTSDB No 
Peekdata No 
Privacera No 
TIMi No 
ThoughtSpot No 
YepCode No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/bigtable

Vendor Details

Company Name

Voldemort

Website

www.project-voldemort.com/voldemort/

Product Features

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication Yes 
Data Search No 
Data Security Yes 
Database Conversion Yes 
Mobile Access No 
Monitoring Yes 
NOSQL Yes 
Performance Analysis Yes 
Queries Yes 
Relational Interface No 
Virtualization No 

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication Yes 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model Yes 
Performance Management Yes 
Security Management Yes 

Product Features

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

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