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Investing for growth in the data economy

Money makes the world go around and this has never been more true when it comes to the data economy as innovative start-ups seek investment to achieve their ambitions and unlock their potential. Led by insight from Atomico and Realm, this piece - the fifth in our data economy series - will look at the data economy from an investment perspective - what traits do they look for in data-driven companies? How are start-ups approaching it? These are the questions this piece will answer.

How Does InfluxDB 3 Query Data in Real-Time?

InfluxDB 3 builds on open-source technologies—Flight, DataFusion, Arrow, and Parquet—but even if a developer made their own time series database using the same technologies, they would not be able to replicate InfluxDB 3. The FDAP stack provides many of the building blocks required for a high-performance database, such as the fast, multi-threaded, streaming, columnar execution engine that defines InfluxDB 3.

Instagram Analytics Tool: Leveraging Data's Potential

An Instagram analytics tool is a computer app used for calculating and monitoring an Instagram performance by users, companies and influencers. Both of these tools have full sets of information about your data, such as content reach, follower growth, and audience engagement. Instagram analytics tools are an absolute must if you really want to take advantage of your Instagram presence. They also demonstrate customers areas to develop instead of those already working.

Your 2025 Tech Toolkit: How to Keep Your Business on Top

Technology is advancing faster than ever, redefining the way businesses operate, interact with customers, and remain competitive. In 2025, embracing innovation isn't just an advantage-it's a necessity for survival and growth. Studies show that businesses leveraging advanced technologies like AI, IoT, and real-time data are better equipped to streamline operations and enhance customer satisfaction. From automating workflows to creating personalized experiences, the right tech tools unlock endless opportunities.

Databricks Cost Optimization: 8 Tips To Maximize Value

Data engineering. Data science. Machine learning. Data governance. These are just a few of the many capabilities that make Databricks a favorite among developers and data engineers. Yet, most have one common complaint — its cost. Some say it’s too expensive, especially for small and medium-sized organizations. Others find it hard to justify using the platform due to budget limits. In addition, maintaining and running data warehouses can be costly.

Using the Python Client Library with InfluxDB v3 Core

The long-awaited InfluxDB 3 Core is finally here, introducing a powerful new way to manage your time series data. InfluxDB 3 Core is an open source recent-data engine for time series and event data. It’s currently in public Alpha under MIT/ Apache 2 license. In this post, we’ll dive into how to query and write data using the Python client library, unlocking the full potential of InfluxDB v3 Core with clear, hands-on examples.

Optimizing High Cardinality Data in ClickHouse

ClickHouse is known for its fast performance and ability to handle large amounts of data, making it a popular choice for running analytical queries. However, it can face challenges when dealing with high cardinality data, which refers to columns with a large number of unique values. This can affect query performance and storage efficiency if not managed properly. In this blog, we will explain what high cardinality means in simple terms and share practical ways to handle it in ClickHouse.

InfluxDB 3 Open Source Now in Public Alpha Under MIT/Apache 2 License

New InfluxDB 3 Core and InfluxDB 3 Enterprise products now available for alpha testing. Today we’re excited to announce the alpha release of InfluxDB 3 Core (download), the new open source product in the InfluxDB 3 product line along with InfluxDB 3 Enterprise (download), a commercial version that builds on Core’s foundation. InfluxDB 3 Core is a recent-data engine for time series and event data.