Compare SAND Nucleus CDBMS vs Mixpanel

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Software Description:

SAND CDBMS is an Analytics database optimized for data mining, statistical analysis, pattern identification, and ad hoc queries.

SAND is a software-based solution designed to do more with less – using intelligence to deliver operational efficiency rather than brute strength. The ‘Load and Go’ operation gives business users access to data immediately without the need for extensive database design and performance tuning requirements. SAND databases have a small footprint due to data compression and can run on low-cost commodity hardware. Simple access via standard SQL and ODBC/JDBC allow existing front-end applications to perform high volume complex SQL queries with ease.

Column Based

  • Data is decomposed into individual columns with vertical partitioning
  • Column orientation is well suited to analytic operations
  • Only the columns involved in a query are used


  • Each data value is tokenized and stored only once within a domain of unique values
  • Reduces the amount of data stored
  • Separates the data from its use

Bit Vector Encoding

  • Each occurrence of each value has a unique position in a "bit vector"
  • Columns are represented as a compressed set of run length encoded bit vectors

Boolean Logic

  • Data operations are Boolean operations on encoded bit vectors
  • Bit vectors are never decompressed

Software Description:

Mixpanel is a custom event based analytics programme for mobile and web. The app allows users to go much further than measuring their site’s page views by reporting on visitor actions, not views.

Mixpanel is able to ask complex questions by breaking apart events (interactions between people and product) by the properties wanting to be explored. Questions such as, ‘which Google Adwords campaign gives us the most paying users?’ can be explored.

Mixpanel can help businesses to increase conversions by locating where customers are lost at any stage in a process, and run experiments to fix issues that are discovered.


  • Big Data
  • Multi-User
  • Data Mining
  • Data Export
  • Data Import
  • Analytics


  • Data Visualization
  • Scheduling


  • The ability to export data to SCT (Sand Compressed Table) and Parquet file formats, providing excellent compression compared to flat file format, and faster re-load times.

  • The use of SAND Domains, tokens, and compression resulting in a small database footprint.

  • Low overhead for DBA administration, with few knobs to turn for a basic setup.

  • Excels at ad-hoc analytics on large datasets, with our column-aware query optimizer enabling the best possible plan for any query submitted.

  • Automatically 100% indexed—all the time—by way of the database's internal structure.

  • A database that's load-and-go with minimal configuration


  • Advanced analytics without programmers: Mixpanel’s segmentation tool simplifies queries by visualising the questions users are wanting to ask. No more need to write technical SQL queries.

  • Use funnels to increase conversions: Identify where customers are being lost and run experiments to fix these issues.

  • Cohorts: Group customers into cohorts when they sign up to get the full picture on the effects of any changes being made.

  • Online help, tutorials and support: Gain advice from experts to get data-driven quickly.


    Does this service offer guides, tutorials and or customer support?
  • SAND provides comprehensive product documentation as well as excellent customer support.

  • Who are the main user groups of this service?
  • Data analysts, data scientists, finance groups, marketing and promotion groups, manufacturing and QA groups, billing, taxation and tolling, among many others.

  • What are some applications this service is commonly used in tandem with?
  • Any ODBC/JDBC interface to reporting and analysis front-ends—such as Microstrategy, Hummingbird, Tableau, and Crystal Reports—as well as an extension to other database systems such as Oracle, SQL Server, and MySQL, as a means to perform faster, in-depth analysis of data that many DBMS struggles with.

  • Does this service integrate with any other apps?
  • Fully supports JDBC/ODBC connectivity.

  • Does this service offer an API?
  • Yes, SQL with ODBC/JDBC and 'C' function interfaces.

  • Does this service offer multi-user capability (e.g. teams)?
  • The database itself is highly scalable and supports multi-user connectivity. It is not in itself a service that uses collaboration.

  • What platforms does this service support?
  • Linux and Windows.

  • What is this service generally used for?
  • Any and all data collection and analysis activities.


    No FAQs associated with this application.


Based in:


Based in:
San Francisco


Who uses SAND Nucleus CDBMS
  • Freelance
  • Startups
  • Enterprises
Desktop Platforms:
  • Windows
Regional Restrictions:
No restrictions.


Regional Restrictions:
No restrictions.
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