News
Events
Webinar: Improve AWS Redshift Performance 20x with Heimdall Proxy; no code changes
Tuesday, July 9, 2019
AWS is hosting a webinar on Heimdall Proxy improves Amazon Redshift performance 20x, without code changes.
In-Memory Computing Summit Europe 2019
Tuesday-Wednesday, June 3-4, 2019
Register: In Memory Computing Europe 2019
Come attend our session and vist our booth. We have limited complimentary tickets. Contact us if you are interested in attending
San Francisco Postgres User Group
Tuesday, July 17, 2018 6:30 PM – 8:00 PM
Improve Application Performance with SQL Caching; no code changes
In-memory computing hot topics & emerging trends: Panel discussion in Menlo Park
Wednesday, June 12, 2018 6:00 PM – 8:00 PM
In-Memory Panel Discussion with GridGain, Redis Labs, Oracle, Hazelcast, PingCap, VoltDB
RedisConf2018
Wednesday, April 25, 2018 2:00 PM
“Increase Application Performance with SQL Auto-Caching; No Code Changes”
PGConf 2018
Come and visit our boot at PGConf2018 in Jersey City, NJ. We will have two sessions on how Heimdall Data provides performance improvement and reliability.
San Francisco Java User Group
“Automatic SQL Optimization for your Existing Database”
San Francisco Java User Group
Tuesday, March 27, 2018 6:30-9:30 PM
“Codeless SQL Caching: 5x Performance Gain from 5-Minutes of Integration”
Free fun drinks, swag, junk food, plus win a JBL Flip 4!
A Database Month event https://www.DBMonth.com/database/sql-caching
David Wheeler once said that ‘All problems in computer science can be solved by another level of indirection’ but how do you leverage this for databases?
In this session, Erik Brandsberg, CTO of Heimdall Data, will provide an overview of how to implement a transparent indirection layer between the application and database to provide users with:
• Query result caching with automatic invalidation to improve scale and performance
• Load balancing of read/write splits to better leverage resources
• Transparent failover for zero-downtime operations
• Auto-caching logic for grid caching with Redis, Amazon Elasticache, Hazelcast & Pivotal Gemfire
• Analytics that identify poorly performing queries, along with automatic query plan extraction
• Security to lock-down databases against zero-day SQL injection attacks
The presentation will include live demos on various unmodified third-party applications.
These techniques were designed for Postgres, MySQL, MS SQL Server and any JDBC-based database.
Erik Brandsberg, Chief Technical Officer, Heimdall Data
Erik Brandsberg is CTO and Architect of Heimdall Data. He specializes in application-networking technologies for web and backend data. Erik’s diverse experience at Alteon, Citrix and Juniper Networks have given him a solid understanding of operational complexities in a modern infrastructure, which has subsequently led to the founding of Heimdall Data.
Swag giveaway + food/drinks at 6:30pm
Power-Networking at 6:35pm
Presentation starts at 6:40pm
PGConf2017 Seattle
How to Auto-cache Postgres with no code changes
Most application performance and scale problems are due to inefficient database access. We will review existing solutions and introduce a new approach that is distributed and transparent.
Heimdall Data is a data access layer installed on each application server providing: 1) SQL auto-caching and auto-invalidation and 2) Automated database failover requires zero application code and Postgres changes.
Bio:
Erik Brandsberg is CTO at Heimdall Data. He specializes in application-networking technologies for web and backend data. Whether it’s coding, testing or installing, he has been involved. His diverse experience at Alteon, Citrix, and Juniper Networks gave him a solid understanding of operational complexities in a modern infrastructure, which led to the founding of Heimdall Data.
Silicon Valley Redis Meetup
Come and Join us an exciting discussion “Increase Application Performance with SQL Auto-Caching”
San Francisco Java User Group
Come and Join us an exciting discussion “Java Application Performance through JDBC”. Most application performance slowness is due to inefficient database access. There are various solutions and all have their pros and cons: A Networking proxy? Grid cache? ORM? Middleware? We will discuss a new way of optimizing application performance and availability in a cloud and on-premise environment via JDBC.
Silicon Valley JUG
Please come and join us for a lively discussion with like minded people “Increasing Java Application Performance through JDBC!”
SVIC Show Case
Come and meet the Heimdall Data at SVIC showcase. Stop by the Heimdall Data booth to talk members of the Heimdall Data.
NEWS
Heimdall Data and Synthetic Data team up for Intelligent SQL Optimization
Press Release
Madrid, Spain, July 15, 2017
Heimdall Data and Synthetic Data team up for Intelligent SQL Optimization
Heimdall Data, the next generation SQL data access platform, and Synthetic Data, a leading Big Data solution provider, today announced a strategic alliance for the European Union market with Synthetic Data’s market reach in the financial services sector and Heimdall Data’s unique transparent caching solution.
Heimdall Data optimizes improves application performance at the backend by 5x without the need of any code change or database reformats. Synthetic Data is a leading Big Data solution provider with clients such as Telefónica, Banco Santander, Mercedes-Benz (Munich), etc
In this partnership, Synthetic Data brings to the European markets a technology which can increase the performance of databases without any disruptions from code or database alterations.
“Synthetic Data´s leadership in Big Data solutions in the European financial market opens up a large opportunity for Heimdall Data. We are excited to partner with them and solve customer problems with our SQL optimization platform“, said Roland Lee, Heimdall Data”
Targeted for application developers and owners, IT operations, and architects, Heimdall intelligently and dynamically caches SQL at run-time. In minutes, an application can be optimized, along with the added benefits of load balancing, high-availability with orchestrated failover, SQL firewalling, and performance analytics.
“Heimdall Data’s distributed approach to optimizing the performance of relational database is one of a kind. It is simple to install, simple to configure and does not require any changes to one’s existing application-database environment” said Alvaro Costa, CEO of Synthetic Data.
Both cloud-based and traditional enterprise deployments can receive the benefits of Heimdall Data’s auto-caching and database disaster recovery solution. Heimdall Data addresses the challenge of on-premise or cloud application uptime and scalability caused by deficient application-to-database interaction. Guaranteeing improved application resiliency and cost savings, Heimdall Data provides a comprehensive, all-in-one SQL solution that is easy to manage and seamless to deploy.
To learn more:
Heimdall Data
info@heimdalldata.com
37070 Newark Blvd., Suite A
Newark, Ca. 94560
1-866-HDDATA4 (1-866-433-2824)
Synthetic Data
Avda. de España 135, Bl. 2, 2
Las Rozas, Madrid, Spain, 28231
(+34) 918-795-790
Intelligent SQL caching with Hazelcast
Palo Alto, Calif., July 21, 2016 – Hazelcast, the leading open source in-memory data grid with hundreds of thousands of installed clusters and over 16 million server starts per month, and Heimdall Data, the next generation data access platform, today announced the launch of a new integrated solution which tackles the issue of on-premise or cloud application uptime and scalability caused by deficient application-to-database interaction. Guaranteeing improved application resiliency and cost savings, the combination of Heimdall Data and Hazelcast’s In-Memory Data Grid (IMDG) provides a comprehensive, all-in-one SQL solution that is easy to manage and seamless to deploy.
With small engineering teams and low budgets, organizations are challenged to continuously add application value while maintaining performance and scalability. Features and performance are both required to attract and retain end customers. The combined Hazelcast-Heimdall Data solution is designed to address application-to-database challenges with minimal overhead. Technical teams can now focus on adding revenue-generating functionality without the burden of infrastructure optimization.
Application bottlenecks are often due to latent and inefficient database interaction, resulting in poor performance and scale. Heimdall Data enables application owners to be worry-free about performance, high availability, and security at the data access layer. Along with Hazelcast’s in-memory caching, organizations dramatically speed up applications by reducing the query load on databases.
Support of an existing application with Hazelcast requires modifying the application code – something that is not always possible due to cost, time, or lack of source code access. However, when deploying Heimdall alongside Hazelcast, users can “Hazelcast-enable” any existing application without changing a single line of code. Heimdall’s off-the-shelf SQL solution installs in minutes and automatically works with Hazelcast.
Targeted for application developers and owners, IT operations, and architects, Heimdall intelligently and dynamically caches SQL queries at run-time and leverages the dramatic performance improvements from Hazelcast caching. In minutes, an application can be optimized, along with the added benefits of load balancing, high-availability with orchestrated failover, SQL firewalling, and performance analytics.
“Heimdall does intelligent SQL Load balancing. One aspect of that is caching of SQL queries. This is where Hazelcast comes in, providing the caching infrastructure. Heimdall also allows for failover, security interceptors, separation of read and write traffic and much more. This is an exciting technology and a very nice integration with Hazelcast,” said Greg Luck, CEO of Hazelcast.
“Databases can greatly affect application performance. The Heimdall Data and Hazelcast joint solution addresses a real need in industry for optimization and scale at the data access layer. We evaluated the top in-memory cache vendors and found Hazelcast’s unparalleled performance and architecture to be a great fit for our SQL caching offering. We are excited to partner with Hazelcast,” said Roland Lee, of Heimdall Data.
Download the latest Heimdall Data and Hazelcast solution bundle at: https://www.heimdalldata.com/intelligent-sql-optimization-solution/