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Hydrolix Offers Kibana Dashboards Through Partnership with Quesma

By using Hydrolix instead of more expensive solutions like Elastic, you can dramatically reduce the total cost of ownership (TCO) for use cases that involve log data, including observability

Through a partnership with Quesma, Hydrolix is introducing a way for organizations to use Kibana dashboards.

Hydrolix, the streaming data lake company disrupting the economics of big data, has partnered with Quesma, which specializes in building translation layers for database platforms to make database migrations easier. The integration of Quesma's technology with the Hydrolix platform enables ELK stack users to offload their log data to Hydrolix's cheaper and faster platform and keep using Kibana and Logstash/Beats. This can dramatically reduce the total cost of ownership (TCO) for ELK use cases that involve log data, including observability. Users of OpenSearch will also be able to use Quesma to connect their OpenSearch Dashboards to Hydrolix.

"Hydrolix is about eliminating the compromises teams have to make because of high data costs," said Marty Kagan, co-founder and CEO at Hydrolix. "Kibana users no longer need to throw away data because it is too expensive to retain it for more than a few days in Elastic."

"Quesma's goal is to provide people with freedom of choice of the best tool for the job," said Pawel Brzoska, co-founder and CPO at Quesma. "Our database gateway helps connect different technologies like Elastic stack's analytical capabilities and the speed and cost-effectiveness of Hydrolix."

Kibana Dashboards Now Available with Hydrolix

Hydrolix is a streaming data lake built for high volumes of log data. Each subsystem in Hydrolix is decoupled from the others, including storage, and this decoupled architecture allows Hydrolix to efficiently scale even for very large events (10 million log lines per second or more) while offering cost-effective S3-compatible storage.

Hydrolix is committed to offering compatibility with a wide variety of tools so that teams can use the tools that work best for them. Hydrolix is already compatible with many solutions, including Grafana, Superset and Splunk. Through its partnership with Quesma, Hydrolix has added Kibana to the list of analytics tools teams can use with the Hydrolix platform.

The Kibana functionality is available directly in Hydrolix; no migration from Elastic is necessary, and existing dashboards and queries are maintained. Quesma works as a bridge: it translates Elastic query language queries into SQL and also returns the results in a format that is compatible with both the Hydrolix platform and Kibana/OpenSearch.

Special Capabilities of Hydrolix with an ELK Stack

■ Hydrolix can replace Elastic for use cases that involve log data at terabyte scale and can complement an existing ELK stack.

■ Hydrolix can ingest data from both Logstash and Beats; just point existing agents and pipelines towards Hydrolix.

■ Hydrolix works with Elastic Common Schema (ECS), transforming logs in real time when they're ingested, providing tremendous flexibility in terms of mapping data.

■ Hydrolix enables ingestion of multiple log sources into a single table where logs can easily be compared.

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Hydrolix Offers Kibana Dashboards Through Partnership with Quesma

By using Hydrolix instead of more expensive solutions like Elastic, you can dramatically reduce the total cost of ownership (TCO) for use cases that involve log data, including observability

Through a partnership with Quesma, Hydrolix is introducing a way for organizations to use Kibana dashboards.

Hydrolix, the streaming data lake company disrupting the economics of big data, has partnered with Quesma, which specializes in building translation layers for database platforms to make database migrations easier. The integration of Quesma's technology with the Hydrolix platform enables ELK stack users to offload their log data to Hydrolix's cheaper and faster platform and keep using Kibana and Logstash/Beats. This can dramatically reduce the total cost of ownership (TCO) for ELK use cases that involve log data, including observability. Users of OpenSearch will also be able to use Quesma to connect their OpenSearch Dashboards to Hydrolix.

"Hydrolix is about eliminating the compromises teams have to make because of high data costs," said Marty Kagan, co-founder and CEO at Hydrolix. "Kibana users no longer need to throw away data because it is too expensive to retain it for more than a few days in Elastic."

"Quesma's goal is to provide people with freedom of choice of the best tool for the job," said Pawel Brzoska, co-founder and CPO at Quesma. "Our database gateway helps connect different technologies like Elastic stack's analytical capabilities and the speed and cost-effectiveness of Hydrolix."

Kibana Dashboards Now Available with Hydrolix

Hydrolix is a streaming data lake built for high volumes of log data. Each subsystem in Hydrolix is decoupled from the others, including storage, and this decoupled architecture allows Hydrolix to efficiently scale even for very large events (10 million log lines per second or more) while offering cost-effective S3-compatible storage.

Hydrolix is committed to offering compatibility with a wide variety of tools so that teams can use the tools that work best for them. Hydrolix is already compatible with many solutions, including Grafana, Superset and Splunk. Through its partnership with Quesma, Hydrolix has added Kibana to the list of analytics tools teams can use with the Hydrolix platform.

The Kibana functionality is available directly in Hydrolix; no migration from Elastic is necessary, and existing dashboards and queries are maintained. Quesma works as a bridge: it translates Elastic query language queries into SQL and also returns the results in a format that is compatible with both the Hydrolix platform and Kibana/OpenSearch.

Special Capabilities of Hydrolix with an ELK Stack

■ Hydrolix can replace Elastic for use cases that involve log data at terabyte scale and can complement an existing ELK stack.

■ Hydrolix can ingest data from both Logstash and Beats; just point existing agents and pipelines towards Hydrolix.

■ Hydrolix works with Elastic Common Schema (ECS), transforming logs in real time when they're ingested, providing tremendous flexibility in terms of mapping data.

■ Hydrolix enables ingestion of multiple log sources into a single table where logs can easily be compared.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...