Hydrolix has launched a connector that Splunk users can deploy to ingest data into Hydrolix while retaining query tooling in Splunk, achieving savings that demand attention while preserving existing pipelines and processes.
"Splunk users love its exceptional tooling and UI. It also has a reputation for its hefty price tag, especially at scale," said David Sztykman, vice president of product management at Hydrolix. "With the average volume of log data generated by enterprises growing by 500% over the past three years, many enterprises were until now faced with a dilemma: they can pay a growing portion of their cloud budget in order to retain data, or they can throw away the data along with the insights it contains. Our Splunk integration eliminates this dilemma. Users can keep their Splunk clusters and continue to use their familiar dashboards and features, while sending their most valuable log data to Hydrolix. It's simple: ingesting data into Hydrolix and querying it in Splunk. Everybody wins."
Users can keep their Splunk clusters and continue to use their familiar dashboards and features, while sending their most valuable log data to Hydrolix. It's simple: ingesting data into Hydrolix and querying it in Splunk.
Benefits of Integrating Hydrolix With Splunk:
- Reduced costs: Hydrolix is a streaming data lake designed to make log-intensive use cases much more cost effective. Per GB costs for Hydrolix are 10x less than Splunk based on Splunk Cloud's listing in AWS Marketplace.
- Real-time ingest and transformation: Hydrolix provides real-time streaming of data whether ingesting one terabyte per day or ten. Splunk no longer offers real-time stream processing. And with Hydrolix, users can transform data in real time before it's stored, allowing normalization, enrichment and obfuscation of data as needed.
- Long-term data retention: With decoupled, commodity object storage, Hydrolix lets users keep all data in their own virtual private clouds for 12 months or more. Combined with high-density compression that reduces your data footprint by 20-50x, users can keep data "hot" for querying while dramatically reducing storage costs.
- Sub-second query latency: Hydrolix uses features like massive parallelism, partition pruning, micro-indexing and extreme predicate pushdown to give you low latency queries, even with billion-plus-row datasets.
- Avoid complex JOINs: With Hydrolix, users can combine multiple data sources that should logically be grouped together in one table—they can even have different dimensionality and field names—so users can query and compare them without using complex JOIN statements.
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 ...
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 ...
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 ...