Full observability with unlimited scalability and zero operational overhead at 10% of the cost
Reduce your Log Analysis data ingestion and gain better insights with more data and longer retention. All at a lower cost.
The growth in the number of new data sources and volume of data from existing sources can be overwhelming. Especially if you are on an ingestion or capacity-based license plan and you end up writing increasingly bigger checks to the SIEM and log monitoring vendors as your implementation grows. Most companies are putting in place “data austerity” measures to stay within budget, reducing the amount of data ingested and retaining it for a shorter time than optimal.
Load all your data to SnowFlake with infinite compute scale-up and scale-out capabilities as well as unlimited cloud storage at a fraction of the cost of legacy solutions. There is no operational overhead from adding nodes, migrating indexes, and re-adjustment shards. Additionally, you have full access to all the compute and storage you require on a pay-as-you-go basis.
Eliminate license overspend
Retain all your data longer
Zero operations infrastructure
Pay for usage
Single source of truth data cloud
Every security and monitoring solution stores their data in separate data stores and lock you in with proprietary data formats. Sharing of critical data across solutions is not viable without replication at high storage and transfer cost. Many tools use the same data sets and requires separate agents to collect the data from the same sources.
Collect the data and store all your log, metrics and trace data in one scalable cloud-native data lake. Enable rapid data access, query performance and data transformation, while capitalizing on Snowflake’s built-in data governance and security. With your data in Snowflake’s built-in data governance and security you are secure. With you data in Snowflake, a standard ANSI SQL platform, you can bulk export/copy into external blob storage for complete data freedom. Data sharing within your organization as well as with external parties externally is simplified with no need to move data around.
Access data don’t move data
Store data once
Securely share live data
Governed access, unlimited queries
All your data, all your users
Pay only for what you use
Collecting data from all your sources, cloud-based and on-prem, is critical for Observability. Collecting data from on-prem infrastructure and from APIs can be challenging.
Elysium analytics provides a simple way to collect all your data from any number of sources. Use Elysium Analytics agents and cloud-based data pipeline from any device data source. Our data pipeline collects, parses and enriches you data stream. Set up alerting and apply profiling and ML-based analytics as you load the data to your data lake. Choose near real-time loading for instant access to your data or batch load at configurable intervals to cost-optimize.
Having all your data is not enough if you need to be able to search on, analyze and apply machine learning for anomaly detection cross all your sources. A data lake can quickly become a data swamp if the data is nor properly organized and structured. Applying the discipline required.
Elysium Analytics provides a simple way to collect all your data from any number of sources and store it raw with no processing until data retrieval for flexibility and optimized for advanced ML-based analytics models. Use Elysium Analytics agents and cloud-based data pipeline from any data stream. Set up alerting and apply profiling and ML-based analytics as you load the data to your data lake. Choose near real-time loading for instant access to your data or batch load at configurable intervals to cost-optimize.
There’s a popular saying among many providers that they’ll offer kinds of services: good, fast and cheap. But remember! You can only pick two. This applies to most IT solutions as well and has often been used as justification that you should never choose the lowest cost product or service. Case in point; store your data on EBS storage and it will be fast and good, for certain, but only allow you to store a few day’s worth of data due to its cost. Apply a data management model that stores the data on object storage for cost savings and you’ll experience cache churn and see your query response time move into the territory of tens to hundreds of seconds.
Leveraging Snowflake’s low-cost data store and Search Optimization Service (SOS), the performance of selective lookup queries on large tables is significantly improved compared to traditional data warehouse solutions. Use case examples include business users and analysts who need fast response times for critical dashboards with highly selective filters and data scientists who are exploring large data volumes and looking for specific subsets of data.
