Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud.
Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery.
It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update.
CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice.
Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync
Description
When PostgreSQL serves as the foundation of your enterprise and is a key data source, PeerDB offers an efficient, straightforward, and economical solution for replicating data from PostgreSQL to data warehouses, queues, and storage systems. It is engineered to function seamlessly at any scale and is specifically adapted for various data repositories. By utilizing replication messages sourced from the PostgreSQL replication slot, PeerDB adeptly replays schema updates while providing alerts for slot growth and active connections. It also includes native support for PostgreSQL toast columns and large JSONB columns, making it particularly advantageous for IoT applications. The platform features an optimized query architecture aimed at minimizing warehouse expenditures, which is especially beneficial for users of Snowflake and BigQuery. Additionally, it accommodates partitioned tables through both publication mechanisms. PeerDB ensures rapid and reliable initial data loads via transaction snapshotting and CTID scanning techniques. With features such as high availability, in-place upgrades, autoscaling, advanced logging, comprehensive metrics, and monitoring dashboards, as well as burstable instance types, it is also well-suited for development environments. Overall, PeerDB stands out as a versatile tool that effectively meets the diverse needs of modern data management.
API Access
Has API
No
API Access
Has API
No
Integrations
Snowflake
Yes
AEGIS CTRM
Yes
Amazon S3
Yes
Apache Cassandra
Yes
Azure Event Hubs
No
Bugzilla
Yes
ClickHouse
No
DashboardFox
Yes
Exact
Yes
GitHub
No
Integrations
Snowflake
Yes
AEGIS CTRM
No
Amazon S3
No
Apache Cassandra
No
Azure Event Hubs
Yes
Bugzilla
No
ClickHouse
Yes
DashboardFox
No
Exact
No
GitHub
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$250 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
CData Software
Founded
2006
Country
United States
Website
www.cdata.com/sync/
Vendor Details
Company Name
PeerDB
Country
United States
Website
www.peerdb.io
Product Features
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No
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
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No