Overview
SparkGrid simplifies database usage through a spreadsheet-like interface that empowers users to perform complex data management tasks on any Snowflake, MySQL, or PostgreSQL database without the need for extensive technical expertise.
SparkGrid's tabularized GUI offers a seamless transition between intuitive visual displays and SQL queries, enabling users to navigate, select, and manipulate data effortlessly. Unlike traditional data management systems that may require specialized training, SparkGrid prioritizes accessibility, allowing users to add, remove, and edit rows, columns, and tables with ease.
This spreadsheet capability is only one aspect of SparkGrid. The software also allows users to enter a visualization of their database hierarchy, and provides options to rename, comment on, move, or delete database tables in addition to opening them as spreadsheets. Another view can convert small CSV files into full tables. Advanced users can take advantage of another tool it offers to view and edit columns in detail, including changing any column's data type, maximum length, and similar metadata. Upon changing a column's data type, SparkGrid will attempt to convert any incompatible cells and will inform the user if any incompatible cells remain after.
By encouraging direct database interaction and streamlining data management processes, SparkGrid empowers users to make informed decisions and drive innovation within their organizations.
As of this writing, SparkGrid supports Snowflake, MySQL, and PostgreSQL databases. An account in one of these databases is required to use the application.
Highlights
- Spreadsheet-like interface to simplify and streamline database usage regardless of the user's SQL familiarity
- Rename, comment on, move, or delete database tables through a convenient alternate view
- Read-only mode for table analysis operations where data integrity is critical
Details
Typical total price
$0.212/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.20 | $0.006 | $0.206 |
t2.micro AWS Free Tier Recommended | $0.20 | $0.012 | $0.212 |
t2.small | $0.20 | $0.023 | $0.223 |
t2.medium | $0.20 | $0.046 | $0.246 |
t2.large | $0.30 | $0.093 | $0.393 |
t2.xlarge | $0.30 | $0.186 | $0.486 |
t2.2xlarge | $0.30 | $0.371 | $0.671 |
t3.nano | $0.20 | $0.005 | $0.205 |
t3.micro AWS Free Tier | $0.20 | $0.01 | $0.21 |
t3.small | $0.20 | $0.021 | $0.221 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
We do not currently offer refunds. To stop incurring hourly use fees, stop all instances running the service. No cancellation process is needed.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Ensured that changing ID columns keeps any filters intact
- Fixed bugs with renaming, deleting certain rows from, and commenting on tables from the mobile UI
- Minor visual and behind-the-scenes improvements
- Snowflake: Fixed a potential crash on MFA timeouts
- System: Set SparkGrid dependencies to be audited and, where possible, resolved on every system boot
- System: Standard machine updates
Additional details
Usage instructions
Before following the steps below, make sure your EC2 instance is up and running.
- Access Your Instance:
- Enter "https://<ip_address>" or "http://<ip_address>" into your web browser, where "<ip_address>" is your instance's public IP address.
- To find the public IP address, go to your EC2 Management Console, select your instance, and look for the address listed there.
- If you choose "https://<ip_address>", you may receive a security warning. This is because the instance generates and signs its own HTTPS certificates upon startup, which allows a secure connection but cannot readily prove its identity. To proceed, select the "Advanced" or "Show Details" option, then select the option to continue, which may be worded as or like "Proceed to <ip_address> (unsafe)" or "Accept the risk and continue."
- Log In:
- Log in using your credentials from your Snowflake, MySQL, or PostgreSQL database of choice.
- For help logging in or using SparkGrid, check the documentation: https://sparksoftlabs.com/documents/products/SparkGrid-Documentation.pdf
- Enhance Security (optional but recommended):
- The instance's security group can limit SparkGrid access to specific IP addresses as needed.
- Running the SparkGrid instance within your organization's network security boundary can similarly restrict both inbound and outbound traffic.
Resources
Vendor resources
Support
Vendor support
You can reach us by email at sparkgridsupport@sparksoftcorp.com . Your message will reach our product's project director, marketing manager, and lead developer.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.