Treasure DataTreasure Data
What is Treasure Data?
Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.
Treasure Data is a tool in the Databases category of a tech stack.
Key Features
Instant Integration- Using td-agent, you can start importing your data from existing log files, web and packaged applications right away.Streaming or Batch?- You choose! Our data collection tool, td-agent, enables you to stream or batch your data to the cloud in JSON format.Secure Upload- The connection between td-agent and the cloud is SSL-encrypted, ensuring secure transfer of your data.Availability- Our best-in-class, multi-tenant architecture uses Amazon S3 to ensure 24x7 availability and automatic replication.Columnar Database- Our columnar database not only delivers blinding performance, it also compresses data to 5 to 10 percent of its original size.Schema Free- Unlike traditional databases – even cloud databases – Treasure Data allows you to change your data schema anytime.SQL-like Query Language- Query your data using our SQL-like language.BI Tools Connectivity- Treasure Data allows you to use your existing BI/visualization tools (e.g. JasperSoft, Pentaho, Talend, Indicee, Metric Insights) using our JDBC driver.Enterprise-level Service and SupportNo Lock-in- We provide a one-line command to let you export your data anywhere you choose, whenever you choose.
Treasure Data Pros & Cons
Pros of Treasure Data
- ✓Makes it easy to ingest all data from different inputs
- ✓Scaleability, less overhead
- ✓Responsive to our business requirements, great support
Cons of Treasure Data
No cons listed yet.
Treasure Data Alternatives & Comparisons
What are some alternatives to Treasure Data?
Google BigQuery
Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
